Embodiments described herein relate generally to capacitance sensing, in particular, a capacitance-to-digital converter circuit and methodologies.
A capacitance-to-digital converter can be used to convert some sensed physical quantities as a measure to capacitance to a digital output which can be processed by a back-end CPU. Energy efficiency is vital due to the limited energy storage (e.g., batteries) of many applications. For example, with the booming of Internet of Things application, it is expected that billions of devices will be deployed in our surroundings. Many of the applications may employ environmental sensing such as temperature, humidity, placement, audio sensors, e.g., microphone, touchscreen.
SAR CDC is a design that is well suited for low-to-medium resolution applications. To reach high resolution, SAR CDC often employ a low-noise comparator or an OTA-based active charge transfer, either of which can result in degraded power efficiency. ΔΣ CDC may be suitable for high-resolution applications, but it may employ OTAs and the repeated charging of the sensing capacitor, which can also lead to high power consumption. Zoom CDC can achieve high resolution with only one-time charging, but its energy efficiency is generally limited by power-hungry OTAs. Open-loop SAR-VCO CDC achieves low power consumption by eliminating the OTA, however, the VCO gain variation often cause inter-stage gain error and requires background calibration, which increases the design complexity and makes it unsuitable for single-shot measurement in sensor node applications due to the long convergence time.
There is a benefit to having improved CDC designs that further improve energy efficiency and reduce design complexity.
This present disclosure provides an exemplary incremental two-step capacitance-to-digital converter (CDC) with a time-domain sigma-delta modulator (TDΔΣM). The TDΔΣM includes (rather than an operational transconductance amplifier (OTA)-based active-RC integrator, e.g., typically used in conventional CDC) a voltage-controlled oscillator (VCO)-based integrator, which can be configured for mostly digital operation and low-power while providing capabilities for infinite DC gain and intrinsic quantization in phase domain. The exemplary TDΔΣM can provide 76-dB SNDR using a low-order loop and a low oversampling ratio (OSR). Example prototypes are disclosed, which when fabricated in 40-nm CMOS technology, provides CDC resolution of 0.29 fF while dissipating only 0.083 nJ per conversion, which improves the energy efficiency by over two times as compared to the conventional CDC and known approaches.
In an aspect, a capacitance-to-digital converter (CDC) is disclosed comprising a first stage successive approximation register capacitance-to-digital converter (1st stage SAR CDC) circuit portion configured to perform a plurality of successive approximations of an input sensed capacitance signal to generate a SAR conversion residue and a first set of converted outputs; and a second stage time-domain incremental delta-sigma modulator capacitance-to-digital converter (2nd stage TD incremental ΔΣM CDC) circuit portion that quantizes the SAR conversion residue, using, in part, a voltage-controlled oscillator (VCO) based integrator of the 2nd stage TD incremental ΔΣM CDC operating in a closed-loop control with a digital-to-analog converted signal generated, in part, by the first set of converted outputs, wherein the 2nd stage TD incremental ΔΣM CDC generates a second set of converted outputs as a representation of the input sensed capacitance signal (e.g., wherein the capacitor ratio is precisely matched so that VCO gain variation cannot change the feedback factor).
In some embodiments, the 2nd stage TD incremental ΔΣM CDC circuit portion comprises a N-stage ring voltage-controlled oscillator (VCO) circuit; and a phase and frequency detector (PFD) coupled to the N-stage ring voltage-controlled oscillator (VCO) circuit to an output for the closed-loop control.
In some embodiments, the 2nd stage TD incremental ΔΣM CDC circuit portion further comprises a passive charge sharing (CS) circuit coupled to the N-stage ring voltage-controlled oscillator (VCO) circuit.
In some embodiments, the N-stage ring voltage-controlled oscillator (VCO) circuit is implemented as a Gm-stage-driven current-controlled oscillator (CCO).
In some embodiments, the Gm-stage-driven CCO is configured to convert the SAR conversion residue into a frequency variation at the output N-stage ring VCO and generate output a phase-difference signal.
In some embodiments, the PFD is configured to detect and integrate the phase difference signal to generate an integrated phase difference signal.
In some embodiments, the PFD comprises a multi-phase quantizer configured to transform the integrated phase difference signal to a multi-level output, the PFD further comprising a sampling circuit to sample the multi-level output.
In some embodiments, the close-loop control comprises a first-order loop.
In some embodiments, the 2nd stage TD incremental ΔΣM CDC is configured to operate in an incremental mode.
In some embodiments, the 2nd stage TD incremental ΔΣM CDC is configured to disable operation during SAR operation of the 1st stage SAR CDC.
In some embodiments, the capacitance-to-digital converter (CDC) further includes a capacitance sensing network circuit coupled to the 1st stage SAR CDC circuit portion, the capacitance sensing network circuit being configured to switch between a first capacitance sensing input associated with a first capacitive plate and a second capacitance sensing input associated with a second capacitive plate.
In some embodiments, the capacitance sensing network circuit comprises a chopper circuit, the chopper be configured to perform the switching between the first capacitance sensing input and the second capacitance sensing input.
In some embodiments, the 2nd stage TD incremental ΔΣM CDC is configured to disable operations during sensing operation of the capacitance sensing network circuit.
In some embodiments, the 2nd stage TD incremental ΔΣM CDC is configured as an N-bit incremental ΔΣM CDC selected from the group consisting of: a 2-bit incremental ΔΣM CDC, a 3-bit incremental ΔΣM CDC, a 4-bit incremental ΔΣM CDC, a 5-bit incremental ΔΣM CDC, a 6-bit incremental ΔΣM CDC, a 7-bit incremental ΔΣM CDC, an 8-bit incremental ΔΣM CDC, a 9-bit incremental ΔΣM CDC, and a 10-bit incremental ΔΣM CDC.
In another aspect, a microcontroller is disclosed comprising one of more of any one of the above-discussed capacitance-to-digital converter.
In another aspect, an integrated chip is disclosed comprising one of more of any one of the above-discussed capacitance-to-digital converter.
In another aspect, a method is disclosed of converting a sensed capacitance signal, associated with a capacitance source, to an output digital signal representing the sensed capacitance analog signal, the method comprising successively approximating over a first set of plurality of approximations (e.g., coarse approximation), the sensed capacitance signal to generate i) a residue signal and ii) first set of converted outputs of the digital signal; generating a first digital-to-analog converted signal of the first set of converted outputs of the digital signal; finely approximating (e.g., via time-domain sigma delta modulation), over a second set of plurality of approximations (e.g., fine approximation), an updated residue signal to determine a second set of converted outputs of the digital signal, wherein the updated residual signal include the generated residue signal and closed-loop feedback control signals generated based on the first set of plurality of approximations and the second set of plurality of approximations; and generating a second digital-to-analog converted signal of the second set of converted outputs of the digital signal representing the sensed capacitance signal; and combining the first digital-to-analog converted signal and second digital-to-analog converted signal to generate the updated residue signal.
In some embodiments, the finely approximating operation comprises quantizing the residue signal, using, in part, a voltage-controlled oscillator (VCO) based integrator operating in a closed-loop control with a digital-to-analog converted signal generated, in part, by the first set of converted outputs by converting the residue signal into a frequency variation to generate an output a phase difference signal; integrating the phase difference signal to generate an integrated phase difference signal; and transforming the integrated phase difference signal to a multi-level output for the closed-loop control.
In some embodiments, the method further includes converting a second sensed capacitance signal corresponding to another portion of the capacitance source; and averaging output of the first conversion of the sensed capacitance signal and output of the second conversion of the second sensed capacitance signal in the digital domain.
In some embodiments, the second set of plurality of approximations are performed via a time-domain sigma-delta modulator (TD ΔΣM).
In some embodiments, the conversion of the sensed capacitance signal is performed using less than 0.083 nJ per conversion.
Embodiments of the present invention may be better understood from the following detailed description when read in conjunction with the accompanying drawings. Such embodiments, which are for illustrative purposes only, depict novel and non-obvious aspects of the invention. The drawings include the following figures:
Each and every feature described herein, and each and every combination of two or more of such features, is included within the scope of the present invention provided that the features included in such a combination are not mutually inconsistent.
In some aspects, the disclosed technology relates to capacitance-to-digital converter circuits and operations. Although example embodiments of the disclosed technology are explained in detail herein, it is to be understood that other embodiments are contemplated. Accordingly, it is not intended that the disclosed technology be limited in its scope to the details of construction and arrangement of components set forth in the following description or illustrated in the drawings. The disclosed technology is capable of other embodiments and of being practiced or carried out in various ways.
It must also be noted that, as used in the specification and the appended claims, the singular forms “a,” “an” and “the” include plural referents unless the context clearly dictates otherwise. Ranges may be expressed herein as from “about” or “approximately” one particular value and/or to “about” or “approximately” another particular value. When such a range is expressed, other exemplary embodiments include from the one particular value and/or to the other particular value.
By “comprising” or “containing” or “including” is meant that at least the named compound, element, particle, or method step is present in the composition or article or method, but does not exclude the presence of other compounds, materials, particles, method steps, even if the other such compounds, material, particles, method steps have the same function as what is named.
In describing example embodiments, terminology will be resorted to for the sake of clarity. It is intended that each term contemplates its broadest meaning as understood by those skilled in the art and includes all technical equivalents that operate in a similar manner to accomplish a similar purpose. It is also to be understood that the mention of one or more steps of a method does not preclude the presence of additional method steps or intervening method steps between those steps expressly identified. Steps of a method may be performed in a different order than those described herein without departing from the scope of the disclosed technology. Similarly, it is also to be understood that the mention of one or more components in a device or system does not preclude the presence of additional components or intervening components between those components expressly identified.
Some references, which may include various patents, patent applications, and publications, are cited in a reference list and discussed in the disclosure provided herein. The citation and/or discussion of such references is provided merely to clarify the description of the disclosed technology and is not an admission that any such reference is “prior art” to any aspects of the disclosed technology described herein. In terms of notation, “[n]” corresponds to the nth reference in the list. For example, [1] refers to the first reference in the list, namely [1] S. Park, G.-H. Lee, and S. Cho, “A 2.92-μW Capacitance-to-Digital Converter with Differential Bond-wire Accelerometer, On-Chip Air Pressure, and Humidity Sensor in 0.18-μm CMOS,” IEEE Journal of Solid-State Circuits, 2019. All references cited and discussed in this specification are incorporated herein by reference in their entireties and to the same extent as if each reference was individually incorporated by reference.
In the following description, references are made to the accompanying drawings that form a part hereof and that show, by way of illustration, specific embodiments or examples. In referring to the drawings, like numerals represent like elements throughout the several figures.
Example System
As shown in
The 2nd stage TDΔΣM CDC circuit portion 106 includes a digital-to-analog converter 120 (shown as “DAC” 120) that uses the first set of converted outputs 122 and feedback signals 124 from the 2nd stage TDΔΣM CDC circuit portion 106 to generate a SAR conversion residue (shown as signal 126) when combined, via a combiner circuit 128, with the input sensed capacitance signal (e.g., via voltage signal 116′) associated with capacitance “Cx” and “Cos.”
The 2nd stage TDΔΣM CDC circuit portion 106 includes a TDΔΣM 134 (shown as “TD Operation” 134) configured to quantize the SAR conversion residue 126. The TDΔΣM 134 includes, in some embodiments, a voltage-controlled oscillator (VCO) based integrator 130 (shown as part of “HL(S)” 130′) operating in a closed-loop control (shown as 124′) with the DAC 120 to generate a second set of converted outputs 132. The VCO integrator 130 can provide intrinsic clocked averaging (ICLA) capability (shown as 130″) that can address the ΔΣM feedback DAC mismatches. In addition, the 2nd stage TDΔΣM CDC circuit portion 106 may implement a low-order loop (e.g., 1st order loop). The closed-loop gain (e.g., set by the capacitor ratio) can be precisely matched by merging the ΔΣ feedback DAC (associated with 114) with the SAR DAC (associated with 110).
Indeed,
Capacitance sensors (e.g., associated with capacitance 118) may include capacitive touch sensors for user input, including, for buttons, scroll wheels, matrix keypad, and sider bars. Capacitance sensors may include single-ended grounded sensors, differential ended grounded sensors, single-ended floating sensors, and differential ended floating sensors. Capacitance sensors may be used in body worn sensors or medical devices, e.g., to detect sweat, respiration rate, blood pressure, liquid level. Capacitance sensors may include temperature sensors, humidity sensors, placement sensors, audio sensors, e.g., microphone sensors, touchscreen sensors, among others.
To further save energy, the TDΔΣM 134 is configured to operate in an incremental mode (shown as “Reset” 138) where the integrator is reset prior to each input signal conversion. The TDΔΣM 134 may be configured to consume only, or mainly, dynamic power. In addition, the TDΔΣM 134 may be configured to be disabled during sensing operation Φ0 and SAR conversion operation Φ1.
As shown in
Also, as shown in
The exemplary SAR/TDΔΣM CDC 100 may be configured with an over-sampling ratio (OSR) of 15 while also providing notches at integer multiples of fs=15, e.g., to suppress unwanted periodic interferences.
The chopper embedded capacitance operations can be used to improve the SAR/TDΔΣM CDC operation by reducing offset errors as well as flicker noise.
As shown in
During the first chopping phase, VREFP and VREFN (shown in
The exemplary SAR/TDΔΣM CDC 100 can generate a total capacitance CTOTAL at the comparator input where CTOTAL≡CX+COS+CDAC+CPAR, where CDAC is the total capacitive DAC including SAR DAC CSAR and TDΔΣM DAC CALM, and CPAR (see
In the second chopping phase, the sampled voltage is flipped, which provides an inverted signal voltage for the CDC. The overall conversion is performed twice with swapped input polarities, which up-modulates the offset and flicker noise to the chopping frequency. With the two conversion results averaged in the digital domain, it creates a notch which attenuates the unwanted low-frequency errors. The system-level chopping operation may be used to improve the thermal noise limited performance by 3 dB.
Method of Operation
As shown in
The method 300 further includes generating (step 304) a first digital-to-analog converted signal of the first set of converted outputs of the digital signal (e.g., 122). In some embodiments, the 2nd stage TDΔΣM CDC circuit portion 106 includes a digital-to-analog converter 120 that uses the first set of converted outputs 122 and feedback signals 124 from the 2nd stage TDΔΣM CDC circuit portion 106 to generate a SAR conversion residue signal 126 when combined, via a combiner circuit 128, with the input sensed capacitance signal (e.g., via voltage signal 116′). The method 300 further includes the step of finely approximating (e.g., time-domain sigma delta modulation) (306), over a second set of plurality of approximations (e.g., fine approximation), an updated residue signal (e.g., 126) to determine a second set of converted outputs of the digital signal (e.g., 132), wherein the updated residual signal (e.g. 126) include the generated residue signal (e.g., 126) and closed-loop feedback control signals (e.g., 124′) generated based on the first set of plurality of approximations and the second set of plurality of approximations.
In some embodiments, the finely approximating operation (306) comprises quantizing the residue signal, using, in part, a voltage-controlled oscillator (VCO) based integrator operating in a closed-loop control with a digital-to-analog converted signal generated, in part, by the first set of converted outputs by converting the residue signal into a frequency variation to generate an output a phase difference signal; integrating the phase difference signal to generate an integrated phase difference signal; and transforming the integrated phase difference signal to a multi-level output for the closed-loop control.
The method 300 further includes the step of generating (308) a second digital-to-analog converted signal of the second set of converted outputs of the digital signal representing the sensed capacitance signal. In some embodiments, the 2nd stage TDΔΣM CDC circuit portion 106 includes a TDΔΣM 134 (shown as “TD Operation” 134) configured to quantize the SAR conversion residue 126. In some embodiments, the TDΔΣM 134 includes, in some embodiments, a voltage-controlled oscillator (VCO) based integrator 130 operating in a closed-loop control (shown as 124′) with the DAC 120 to generate a second set of converted outputs 132.
The method 300 further includes the step of combining (310) the first digital-to-analog converted signal and second digital-to-analog converted signal to generate a capacitance-to-digital conversion output. See,
In some embodiments, the method 300 further includes converting a second sensed capacitance signal corresponding to another portion of the capacitance source; and averaging output of the first conversion of the sensed capacitance signal and output of the second conversion of the second sensed capacitance signal in the digital domain. See,
Time-Domain Incremental ΔΣ CDC
In Equation 2, N represents the number of CCO stages, KVCO the VCO tuning gain, and VREF is the full swing of the CDAC reference voltage. The VCO tuning gain KVCO=Gm·KCCO includes the transconductance of the Gm stage and the CCO current to frequency conversion gain. In Equation 2, β is the capacitive feedback factor of the loop and may be set as
where CFB is the unit TDΔΣM feedback capacitor.
The noise transfer function (NTF) can be derived per Equation 3.
In Equation 3, TS is the period of the clock sampling the DFFs after the PFD array. In a nominal design, say, with a 5-pF CX (118), a 5-pF CSAR, a 2-pF CPAR extracted as the parasitic capacitance, and a 10-fF CFB, β can be is calculated as 6×10−3. In this example, KVCO can be set as 552 MHz/V; the sampling frequency fs set as 5.12 MHz; and VREF set as 1.1 V. The result is an NTF of (1−z−1)/(1−0.3 z−1). With a 4-bit TDΔΣM and an 8-bit coarse SAR, the OSR may be set to 15 to achieve an 82-dB SQNR.
Example Circuit Implementation
As shown in
During conversion stage Φ0, the CDC 100b is reset. When conversion stage Φ0 ends, e.g., by switching the bottom-plate voltages of CX and COS between VREFP and VREFN, the differential signal voltage VX+/VX− is created at the comparator input (e.g., at 508). The SAR 114 (shown as 114a) performs an 8-bit synchronous conversion of VX 116 (shown as 116a). By adopting 20-fF SAR DAC unit capacitor, the sensing capacitance dynamic range, (CX−COS), is set to be 5 pF. Although redundancy may be applied, no redundancy is necessarily required during the SAR conversion since any conversion error can be absorbed by the second stage fine quantization. After the conversion, the SAR comparator 508 is reconfigured as a Gm stage and drives a 7-stage dual-CCO 510 to perform the phase-domain integration. The output of the 14-level phase quantizer 512 is fed back to the TDΔΣM DAC array 134a to realize the modulation. With a 1st-order loop (124′) and 25% clock cycle retiming delay (shown as 514), the ΔΣM does not require any excess loop delay compensation.
TDΔΣM Loop Filter Design
To reduce the offset mismatches between the SAR and TDΔΣM stages, the comparator input pair M1p,n (602, 604) and tail transistor Mb (606) are reused as a Gm stage (508a) that converts the residue VRES (126) into current (shown as “ICCO” 608) to drive the CCOs 510a, as shown in
The CCOs 510a are directly biased by branching the current difference between the PMOS and NMOS current sources,
To save energy, only a 360-nA ICCO may be used in the circuit, resulting in a low output swing of 0.25 V. A level-shifter 610 similar to that described in [29] may be placed between the CCO 510a and the PFD 512 (shown as 512a). The level-shifter 610 is configured to produce a sharp transition edge and consumes only dynamic current.
The digital circuits 620, including PFD-based sampler 512a, re-timer 614, and the encoder (shown also in 614), are powered under 0.6 V, while the analog circuits (616), including feedback DAC (618) and Gm stage (508a), are operated under 1.1 V. Level-shifters 622 are also placed between digital (620) and analog domains (616) to improve the circuit robustness.
Low noise CCO: In some embodiments, the individual cell of the CCO (510a) is implemented to operate differentially.
Phase-Frequency Detector (PFD) and Encoder: An array of 7 PFDs is used, in some embodiments, to provide the tri-level phase quantization for each stage CCO output.
Experimental Results
A study was conducted to evaluate performance of the SAR/TDΔΣM CDC (e.g., 100, 100a) as compared to state-of-art like CDCs in accordance with an illustrative embodiment.
Measured core size:
The maximum value of CX that can be sensed by the fabricated SAR/TDΔΣM CDC for zero COS is 5 pF. The capacitance sensing range can be extended, in some embodiments, beyond 5 pF by adjusting the sensing circuit with a nonzero COS, which is used to cancel the signal-independent baseline capacitance [24].
DC capacitance measurement.
Measured Static Performance.
Measured SNDR and SFDR.
Table 1 shows performance summary of the SAR/TDΔΣM CDC device of
In Table 1, SNDR is defined in Equation 4. FOM is defined as
Reference 3 in the table is measured with 11.3 pF. Reference 4 in the table is calculated with one subrange.
The SAR/TDΔΣM CDC used in the study was OTA-free. The exemplary SAR/TDΔΣM CDC used a VCO to realize the TDM, and the VCO is configured to operate in close-loop operation to obviates the need for background calibration. Effective number of bits (ENOB) is calculated as ENOB=(SNDR−1.76)/6.02. The figure of merit (FoM) was defined as FoM=Energy/2ENOB, which represents the energy required for each effective bit conversion. Overall, the exemplary SAR/TDΔΣM CDC achieved a CDC FoM of 16 fJ/conversion-step, which represents a 2 times energy-efficiency improvement over the state-of-the-art works, including those referenced herein.
As shown in
Capacitive sensors are widely used to measure various physical quantities, including pressure [1], humidity [2], and displacement [3]. Ultra-low-power capacitance-to-digital converter (CDCs) may be require for sensors with limited battery capacity or powered by energy harvesters. There are a few conventional architectures developed to perform the direct capacitance-to-digital conversion. The successive approximation register (SAR)-based CDCs have attracted attention due to the superior energy efficiency of their analog-to-digital converter (ADC) counterparts [4]-[6]. A SAR CDC may be simple to design and may achieve high energy efficiency for low-to-medium resolution applications. However, the passive charge sharing (CS) between the sensing capacitor and the capacitive digital-to-analog converter (DAC) causes signal degradation.
To reach high resolution, CS may require a low-noise comparator [7]-[9] or operational transconductance amplifier (OTA)-based active charge transfer [10], resulting in degraded power efficiency.
Inherited from ΔΣ ADCs, the CDCs [2], [3], [11]-[13] naturally suit high-resolution applications. Nevertheless, their energy efficiency may be limited by the OTA-based integrators in the loop filter, which may consume static current. Moreover, a large oversampling ratio (OSR) may be needed in the conventional single-bit loop, which may require repeatedly charging of the sensing capacitor, e.g., a third-order loop filter with an OSR of 200 may be needed in [2].
To maintain high resolution while reducing conversion energy, the zoom architecture, a subcategory of two-step converters, was proposed in [14]-[16]. It used a SAR converter to coarsely quantize the input, followed by a modulator to perform fine quantization. Although the zoom-in nature restricted the converter to near-DC inputs, it was appropriate for sensor nodes where environmental parameters (e.g., capacitance) changed very slowly [17]. A zoom CDC [18] combined the merits of SAR and M, and thus, it can achieve high resolution with only one-time charging of the sensing capacitor.
The zoom architecture may provide a more balanced trade-off between conversion accuracy and energy consumption. However, in that two-step architecture, a high-order loop filter was still required with a single-bit quantizer. It dominated the system power due to the static current in the OTA-embedded loop filter. To address such limitation, a multi-bit quantizer can be applied to reduce the loop filter order. However, to ensure loop linearity, dynamic element matching (DEM) block are usually implemented to address the multi-bit feedback DAC mismatch issue, which consume extra power and area.
Recently, time-domain (TD) analog signal processing techniques became popular due to their power efficiency in the advanced CMOS technologies. By representing and processing signals using time-related variables, such as frequency and phase, TD signal processing benefits from transistor scaling, as time information can be processed through mostly digital circuits.
Recent advancements in ΔΣMs [19]-[23] replaced the conventional OTA-based active-RC integrator with a voltage-controlled oscillator (VCO)-based integrator, which conferred several key advantages: 1) the VCO can be mostly digital and scaling friendly; it can work well under low supply voltage and consumes low power; 2) it can provide infinite DC gain in the phase domain, and thus is well-suited for high-precision applications that demand high DC loop gain; 3) it can have intrinsic spatial phase quantization, and thus, can enable a simple multi-bit quantization using only minimum-size DFFs; it can obviate the need for an array of low-offset comparator. With these merits, a two-step CDC in [24] achieved low power consumption by performing the open-loop VCO-based ΔΣM and eliminating power-hungry OTAs. With the intrinsic phase quantization, a 3-bit quantizer was implemented by XOR-gates, which enabled a low OSR design (e.g., 3) and further reduced the energy consumption. However, the process, voltage, and temperature (PVT)-sensitive VCO gain variation can cause inter-stage gain error, which can degrade the conversion accuracy. A background calibration loop was implemented to track the VCO gain, which increased the design complexity and made it unsuitable for single-shot measurement in sensor node applications due to the long convergence time.
The exemplary SAR/TDΔΣM CDC implements an incremental two-step CDC that includes a coarse SAR CDC and a fine closed-loop time-domain CDC. Comparing to the open-loop VCO-based CDC [24], the exemplary SAR/TDΔΣM CDC performs closed-loop TDM-based CDC, which obviates the need for background calibration. The closed-loop gain is also set by the capacitor ratio, which is precisely matched by merging the feedback DAC with the SAR DAC. Therefore, the VCO gain variation cannot change the feedback factor, and thus, has a negligible impact on CDC performance. In the exemplary SAR/TDΔΣM CDC design, 20% VCO gain variation can result in only 2-dB of SQNR change. By implementing a phase and frequency detector (PFD)-based quantifier (rather than an XOR-based phase quantizer), the exemplary SAR/TDΔΣM CDC in such embodiment may obtain one extra quantizer bit with the same number of VCO stages, which can further reduce the required OSR for the target resolution. Further, the dual-VCO integrator of the exemplary SAR/TDΔΣM CDC can be used to bring intrinsic clocked averaging (ICLA) capability that can address the M feedback DAC mismatches, and obviate the need for dedicated DEM block, as previously suggested in [25]. By reusing the SAR comparator as the Gm stage of the VCO-based integrator, offsets in the SAR and the M may be inherently matched, which can remove the need for offset mismatch calibration. With a largely simplified loop filter, the exemplary SAR/TDΔΣM CDC can be fabricated in 40-nm CMOS to achieve a resolution of 0.29 fF while dissipating only 0.083 nJ per conversion. The exemplary SAR/TDΔΣM CDC can thus improve energy efficiency by over 2 times as compared to the state-of-the-art like devices.
Capacitance Resolution. Three noise sources may limit the capacitance resolution of the exemplary SAR/TDΔΣM CDC: 1) kT/C sampling noise from Φ0; 2) thermal noise of the TDΔΣM; and 3) quantization noise. Indeed, the flicker noise may be primarily attenuated by the system-level chopping as discussed herein, and the comparator noise may be canceled at the CDC output when two-step conversion results are combined.
The capacitance sampling noise, referred to the single-ended input, may be calculated by Equation 5A.
Per Equation 5A, with a 12-pF CTOTAL, 1.1V VREF and an OSR of 15, the input-referred capacitance noise is 52 aF. The capacitance noise induced by the TDΔΣM can be mainly contributed by the Gm stage and the following CCO. For the CCO, the input-referred noise current PSD may be calculated per Equation 5B.
In Equation 5B, D is the phase diffusion constant and can be obtained from phase noise simulation, e.g., as described in [28]. Based on a SPICE simulation, the CCO input-referred noise current PSD can be calculated as 194 fA/√{square root over (Hz)}.
Together with the Gm stage, whose input-referred noise voltage PSD can be calculated as
The TDΔΣM noise referend to the single-ended input may be calculated as Equation 6.
In Equation 6, gm=30 μS, the Gm stage can contribute over 90% of the thermal noise, resulting in a 0.12-fF single-ended cn,dsm.
The quantization noise of the CDC can be calculated from the quantification noise of the incremental TDΔΣM as the quantization noise of the SAR stage can be canceled at the output. The single-ended ΔΣM may have an equivalent quantization step of CLSB=5 fF. Extracted from simulation, the single-ended rms quantization noise is 0.15 fF. Hence, the total calculated rms capacitance noise of the CDC can be calculated as 0.19 fF.
Redundancy Arrangement. A trade-off between resolution and redundancy may be considered when choosing a unit capacitor size of the TDΔΣM DAC.
The exemplary SAR/TDΔΣM CDC may implement a tri-level feedback DAC with 10-fF unit capacitance to produce an equivalent M LSB of 5 fF. With 20 fF as the SAR LSB, an inter-stage gain of 4 may be provided between the two-step conversions.
As shown in
Two blocks may contribute to the inter-stage offsets: 1) the cross-coupled inverter pair in the comparator, and 2) the ring-CCO. With 0.6-LSB (1 sigma) input-referred comparator cross-coupled latch offset and 0.5-LSB (1 sigma) input-referred ring-CCO offset, an overall offset deviation of 0.8 LSB may be expected in the system. With 5 LSB inter-stage redundancy provided, greater than 6 sigma tolerance of offset mismatches may be achieved.
Indeed, if there is any SAR conversion error, the error may be absorbed by the redundancy. To this end, the offsets between the two stages may be tolerated without any offset calibration.
Non-ideal effects in TDCDC per Capacitive DAC Mismatch. Capacitive DAC is often the key component in a given CDC design and often defines the conversion accuracy. Static element mismatch in the capacitor array can lead to the increased noise floor as well as harmonic distortion.
The capacitive DAC array of the exemplary SAR/TDΔΣM CDC, in some embodiments, includes a SAR DAC with 20-fF unit capacitor and a ΔΣM DAC with a 10-fF unit capacitor. To ensure a better matching, the two capacitive DACs are combined together in the layout as discussed herein. The SAR unit capacitor may be constructed by two ΔΣM unit capacitors.
As in any multi-bit ΔΣM, DAC mismatch can cause non-linearity. The issue may be addressed by having an explicit DEM circuit to scramble the DAC element selection pattern; however, it incurs additional power and area cost.
In the exemplary SAR/TDΔΣM CDC, a dual-VCO-based integrator is implemented to provide ICLA capability similar, though different in implementation, to those described in [22], [25]. The transition edge of the VCO may be configured to rotate at twice the VCO center frequency, which may result in the same rotation frequency of the selected elements in the DAC array as 2fVCO. Indeed, the mismatch errors may be up-modulated to even-order harmonics of the VCO center frequency and are inherently suppressed by the decimation filter.
With the ICLA capability, the exemplary SAR/TDΔΣM CDC performance may be limited by the SAR DAC mismatches. In certain design of the exemplary SAR/TDΔΣM CDC, the SAR unit capacitor may be constructed by two 10-fF M unit capacitors to provide a mismatch error of 0.14% (1 sigma) (e.g., per Monte-Carlo (MC) simulation).
Non-ideal effects in TDCDC per VCO Gain Variation. One limitation of a conventional time-domain design [24] is the PVT-induced VCO gain variation, which can change an inter-stage gain of that design and, thus, degrades conversion linearity. The exemplary SAR/TDΔΣM CDC employs an inter-stage gain between SAR and TDΔΣM, in some embodiments, that is precisely defined as the capacitor ratio and is independent of VCO gain. With the high DC loop gain provided by the VCO integrator, as indicated in (Equation 2), the variation may only have a limited impact on the system performance.
As shown in
Indeed, the exemplary SAR/TDΔΣM CDC provides an incremental two-step CDC with a time-domain ΔΣ modulator that can largely simplify the loop filter by using, e.g., rather than an OTA-based integrator, a VCO and using a multi-bit phase quantizer. The exemplary SAR/TDΔΣM CDC may achieve a resolution of 0.29 fF with an energy efficiency of 16 fJ/conversion-step, representing a 2 times improvement over the state-of-the-art like designs.
The exemplary SAR/TDΔΣM CDC may be implemented in IC or microcontroller for use in IoT (Internet of Things) applications. With the booming of IoT, there expect to have billions of devices in our surroundings. The environmental sensing plays a key role in the smart city concept. Among them, capacitive sensors are widely applied in the temperature, humidity, placement, audio sensors, e.g., microphone, touchscreen. The CDC plays the role of converting the physical quantities to the digital output which can be processed by the back-end CPUs. The energy efficiency is vital due to the limited battery energy. The exemplary SAR/TDΔΣM CDC can directly reduce the energy consumption and extend the battery life of such applications.
Unless otherwise expressly stated, it is in no way intended that any method set forth herein be construed as requiring that its steps be performed in a specific order. Accordingly, where a method claim does not actually recite an order to be followed by its steps or it is not otherwise specifically stated in the claims or descriptions that the steps are to be limited to a specific order, it is no way intended that an order be inferred, in any respect. This holds for any possible non-express basis for interpretation, including: matters of logic with respect to arrangement of steps or operational flow; plain meaning derived from grammatical organization or punctuation; the number or type of embodiments described in the specification. Throughout this application, various publications are referenced. The disclosures of these publications in their entireties are hereby incorporated by reference into this application in order to more fully describe the state of the art to which the methods and systems pertain.
Also, unless clearly stated otherwise, when any number or range is described herein, that number or range is approximate. When any range is described herein, unless clearly stated otherwise, that range includes all values therein and all sub ranges therein. Any information in any material (e.g., a United States/foreign patent, United States/foreign patent application, book, article, etc.) that has been incorporated by reference herein, is only incorporated by reference to the extent that no conflict exists between such information and the other statements and drawings set forth herein. In the event of such conflict, including a conflict that would render invalid any claim herein or seeking priority hereto, then any such conflicting information in such incorporated by reference material is specifically not incorporated by reference herein.
Although example embodiments of the present disclosure are explained in detail herein, it is to be understood that other embodiments are contemplated. Accordingly, it is not intended that the present disclosure be limited in its scope to the details of construction and arrangement of components set forth in the following description or illustrated in the drawings. The present disclosure is capable of other embodiments and of being practiced or carried out in various ways.
In summary, while the present invention has been described with respect to specific embodiments, many modifications, variations, alterations, substitutions, and equivalents will be apparent to those skilled in the art. The present invention is not to be limited in scope by the specific embodiment described herein. Indeed, various modifications of the present invention, in addition to those described herein, will be apparent to those of skill in the art from the foregoing description and accompanying drawings. Accordingly, the invention is to be considered as limited only by the spirit and scope of the disclosure, including all modifications and equivalents.
Still other embodiments will become readily apparent to those skilled in this art from reading the above-recited detailed description and drawings of certain exemplary embodiments. It should be understood that numerous variations, modifications, and additional embodiments are possible, and accordingly, all such variations, modifications, and embodiments are to be regarded as being within the spirit and scope of this application. For example, regardless of the content of any portion (e.g., title, field, background, summary, abstract, drawing figure, etc.) of this application, unless clearly specified to the contrary, there is no requirement for the inclusion in any claim herein or of any application claiming priority hereto of any particular described or illustrated activity or element, any particular sequence of such activities, or any particular interrelationship of such elements. Moreover, any activity can be repeated, any activity can be performed by multiple entities, and/or any element can be duplicated. Further, any activity or element can be excluded, the sequence of activities can vary, and/or the interrelationship of elements can vary. Unless clearly specified to the contrary, there is no requirement for any particular described or illustrated activity or element, any particular sequence or such activities, any particular size, speed, material, dimension or frequency, or any particularly interrelationship of such elements. Accordingly, the descriptions and drawings are to be regarded as illustrative in nature, and not as restrictive. Moreover, when any number or range is described herein, unless clearly stated otherwise, that number or range is approximate. When any range is described herein, unless clearly stated otherwise, that range includes all values therein and all sub ranges therein. Any information in any material (e.g., a United States/foreign patent, United States/foreign patent application, book, article, etc.) that has been incorporated by reference herein, is only incorporated by reference to the extent that no conflict exists between such information and the other statements and drawings set forth herein. In the event of such conflict, including a conflict that would render invalid any claim herein or seeking priority hereto, then any such conflicting information in such incorporated by reference material is specifically not incorporated by reference herein.
The following patents, applications and publications as listed below and throughout this document are hereby incorporated by reference in their entirety herein.
This application claims priority to, and the benefit of, U.S. Provisional Patent Application No. 62/977,369, filed Feb. 16, 2020, entitled “Time-Domain Incremental Two-Step Capacitance-to-Digital Converter,” which is incorporated by reference herein in its entirety.
Number | Date | Country | |
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62977369 | Feb 2020 | US |