A monobit coherent receiver is configured to receive and process coherent (pulsed) signals utilizing a 1-bit analog-to-digital converter (ADC). This relatively simple single bit ADC, however, is associated with quantization noise, particularly when used to process relatively high bandwidth signals. This can be particularly disadvantageous in, for example, conventional Doppler pulse radar receivers, where bandwidth of an echo signal subjected to conversion by the single bit ADC can be relatively high. This may result in complexities in noise reduction in the digital domain, suboptimal resolution in a processed signal, relatively high thermal noise, amongst other undesirable effects.
The following is a brief summary of subject matter that is described in greater detail herein. This summary is not intended to be limiting as to the scope of the claims.
Described herein are various technologies relating to a system that includes a receiver, wherein the receiver is configured to receive and process coherent (pulsed) signals. In an example, the system can be a Doppler pulse radar system, a global positioning system (GPS), a radiofrequency identifier (RFID) system, etc. The aforementioned receiver can have an integrated circuit (IC) therein. The IC can include, for example, a coherent signal sampler that is configured to generate a reference signal. The reference signal can be an impulse (pulse) modulation of a pseudorandom sequence used to modulate a transmitted signal (e.g., emitted from the pulse Doppler radar system, a GPS transmitter, an RFID transmitter, etc.). Thus, for example, the coherent signal sampler can modulate the pseudorandom sequence by an impulse train, wherein a frequency of the impulse train can map to a data rate of the transmitted signal (e.g., a 1 MHz impulse train), thereby generating the reference signal.
The receiver is further configured to demodulate an (analog) input signal by the reference signal to form an (analog) baseband signal. The input signal can be a function of a pulsed signal received at an antenna of the receiver. The demodulation of the input signal by the reference signal, when the system is a pulse Doppler radar system, results in a Doppler tone.
The IC can further comprise a ΣΔ (sigma delta) modulator that is configured to convert the baseband signal to a digital output signal. An advantage of the sigma delta modulator is reduction of quantization noise compared to conventional quantizers. Further, the baseband signal, due to the above-mentioned demodulation, has a relatively low bandwidth; accordingly, a relatively low bandwidth sigma delta modulator can be used to perform the analog to digital conversion.
The above discussion presents a simplified summary in order to provide a basic understanding of some aspects of the systems and/or methods discussed herein. This summary is not an extensive overview of the systems and/or methods discussed herein. It is not intended to identify key/critical elements or to delineate the scope of such systems and/or methods. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
Various technologies pertaining to a coherent receiver that includes a sigma delta modulator are now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. It may be evident, however, that such aspect(s) may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing one or more aspects. Further, it is to be understood that functionality that is described as being carried out by certain system components may be performed by multiple components. Similarly, for instance, a component may be configured to perform functionality that is described as being carried out by multiple components.
Moreover, the term “or” is intended to mean an inclusive “or” rather than an exclusive “or.” That is, unless specified otherwise, or clear from the context, the phrase “X employs A or B” is intended to mean any of the natural inclusive permutations. That is, the phrase “X employs A or B” is satisfied by any of the following instances: X employs A; X employs B; or X employs both A and B. In addition, the articles “a” and “an” as used in this application and the appended claims should generally be construed to mean “one or more” unless specified otherwise or clear from the context to be directed to a singular form.
Further, as described herein, some aspects may be performed via execution of software. For example, systems described herein can include digital signal processors (DSPs), which can be programmed to perform various signal processing functions. Aspects described herein are configured to encompass suitably programmed DSPs, wherein the DSPs can be configured to execute a routine, a function, or the like. Further, as used herein, the term “exemplary” is intended to mean serving as an illustration or example of something, and is not intended to indicate a preference.
With reference now to
The Doppler pulse radar system 100 also includes a receiver 108 that is configured to receive and process this echo signal. Accordingly, while not shown, the receiver 108 can include an antenna, componentry to down-convert the signal, a low noise amplifier (LNA), a matched filter, and other componentry that is conventionally included in radar receivers. The antenna of the receiver 108 is configured to receive the echo signal, process the echo signal to generate a digital signal, and output the digital signal to the DSP 102.
With more detail, the receiver 108 includes a coherent signal sampler 110. The coherent signal sampler 110 is configured to receive an analog input signal (SIN), wherein SIN is a function of the echo signal received at the antenna of the receiver 108. For example, SIN can be the output of a matched filter in the receiver 108. Accordingly, SIN is an analog signal that has been modulated by the pseudorandom sequence. The coherent signal sampler 110 is configured to generate a reference signal (SREF) that is suitable for demodulating SIN. For instance, the coherent signal sampler 110 can be configured to sample the pseudorandom sequence by an impulse (or pulse) train that is clocked in accordance with the data rate corresponding to the output signal.
The receiver 108 can be configured to demodulate SIN using SREF, resulting in formation of a baseband signal (SBB). SBB represents a Doppler frequency (plus some noise, such as thermal noise and other noise that may be associated with signal processing). The receiver 108 additionally comprises a ΣΔ (sigma delta) modulator 112 that is configured to convert SBB to the digital output signal. In an exemplary embodiment, the sigma delta modulator 112 may act as a 1-bit (monobit) ADC. In other examples, the sigma delta modulator 112 may act as a multi-bit ADC. As noted above, the receiver 108 can be configured to output the digital signal formed by the sigma delta modulator 112 to the DSP 102. The DSP 102 may then perform suitable processing (in the digital domain) over the digital signal to determine, for example, location of the target 106 relative to the Doppler pulse radar system 100, direction of movement of the target 106 relative to the Doppler pulse radar system 100, velocity of the target 106 relative to the Doppler pulse radar system 100, etc.
Optional alternatives pertaining to the Doppler pulse radar system 100 are now set forth. While the transmitter 104 and the receiver 108 are shown in
Further, in an example, the coherent signal sampler 110 and the sigma delta modulator 112 may be formed on a single integrated circuit (IC). Moreover, for instance, at least one of the coherent signal sampler 110 and the sigma delta modulator 112 may be implemented as a switched capacitor circuit. An exemplary implementation of the coherent signal sampler 110 and the sigma delta modulator 112 on an IC is set forth below.
The Doppler pulse radar system 100 exhibits various advantages over conventional Doppler pulse radar systems. For example, the (SNR) in the digital signal output by the sigma delta modulator 112 is higher compared to SNRs of signals in the digital domain of conventional Doppler pulse radar systems. This enhancement of SNR is at least partially due to a reduction in quantization noise associated with sigma delta modulators. Additionally, the above-noted increase in SNR is a result of a reduction in thermal noise that corresponds to the design, wherein such reduction is at least partially due to the sigma delta modulator 112 being a relatively low bandwidth sigma delta modulator (e.g., between 10 KHz and 30 KHz).
While
Now referring to
The coherent signal sampler 110 includes or has access to a pseudorandom sequence, wherein the output signal has been modulated by the pseudorandom sequence. Accordingly, as the echo signal is a reflected portion of the output signal, and SIN is based upon the echo signal, SIN can include frequency information modulated by the pseudorandom sequence. As shown in
The coherent signal sampler 110 also includes circuitry 206 that generates an impulse (or pulse) train. The coherent signal sampler 110 further comprises a multiplier 208 that multiplies SBPSK by the impulse train, such that the BPSK sequence is sampled at an appropriate rate (e.g., the rate of the impulse (or pulse) train). This results in formation of a reference signal (SREF), which is output by the coherent signal sampler 110. The system 200 further comprises a second multiplier 210 that is configured to multiply SIN by SREF, thus, de-modulating SIN and forming SBB.
The sigma delta modulator 112 is operably coupled to the second multiplier 210, and receives SBB output by the second multiplier 210. The sigma delta modulator 112 includes a feed-forward loop 212 and a feedback loop 214. The feed-forward loop 212 includes a low pass filter 216. The low pass filter 216 is configured to provide noise-shaping. The feed-forward loop 212 also includes a quantizer 218, which is operably coupled to the low pass filter 216. The quantizer 218 outputs a quantized (digital) signal. In an example, the quantizer 218 can be a 1-bit quantizer. In other examples, the quantizer 218 may be a multi-bit quantizer.
The feedback loop 214 includes a digital-to-analog converter (DAC) 220, which is operably coupled to the output of the quantizer 218. Accordingly, the DAC 220 receives the digitized signal output by the quantizer 218. In an example, the DAC 220 may be a single-bit DAC. In other examples, the DAC 220 may be a multi-bit DAC. The DAC 220 outputs an analog signal, which is summed with the baseband signal by a summing module 222. The low pass filter 216 is coupled to the summing module 222 and receives the output of such module 222.
Operation of the system 200 will now be described in greater detail. As described above, the coherent signal sampler 110 is configured to sample SBPSK coherently by a train of impulses (e.g., a 1 MHz train of impulses). SREF is thus a train of impulses modulated according to the sequence determined by the BPSK sequence 204. The resulting spectrum is composed by a sequence of replicas of the BPSK sequence. It is to be noted that this operation can be realized in the digital domain. Two advantages of this approach are as follows: 1) the approach is relatively simple to implement and reduces the noise level; and 2) pulse modulation can be used instead of impulse modulation. The BPSK modulated train of impulses (SREF) output by the coherent signal sampler 110 can be described by the following expression:
SRef(t)=SRef(t)=BPSK×{Σn=−∞∞δ(t−nT)}, (1)
where t is time, T is a sampling period, and δ is the impulse function.
The modulated train of impulses convolves the incoming signal SIN(t), generating a low-frequency signal, where the Doppler frequency is visible:
SBB(t)={α×BPSK×sin((ωI+ωD)t)+noisetotal}×BPSK×{Σn=−∞∞δ(t−nT)}, (2)
where α is the attenuation factor of the echo signal, ωI is an intermediate frequency component, ωD is a Doppler frequency component, and noisetotal represents incoming noise.
This operation comprises multiple operations needed to extract the Doppler frequency. Eq. (2) can be re-arranged as follows:
Sbb(t)=α×BPSK2×sin(ωDt)+noisetotal2, (3)
where noisetotal2 is the total in-band noise after the coherent BPSK modulated sampling. It can be noted that the coherent impulse modulation is a digital operation. Instead of using a train of impulses, pulses can be used if an analog mixer is sensitive to one of the edges. The Doppler frequency is present after these operations and can be extracted employing the sigma delta modulator 112 (which can be a low frequency sigma delta modulator). For example, the sigma delta modulator 112 can be a 20 kHz sigma delta modulator, and can digitize SBB with a clock frequency of 1 MHz to cause SBB to be compatible with the frequency of the coherent signal sampler 110.
The impulse (or pulse) modulation of the BPSK results in a modulated impulse (pulse) train. This modulation can be performed in software or using digital circuits, such that the operation is, in principle, noise free. As discussed above, with respect to Eq. (1), it was shown that this impulse modulation can generate multiple coherent replicas of the BPSK spectrum. This operation can be exploited, for example, if switched capacitor circuits are used.
While
SRef(t)=BPSK×sin(ωIt). (4)
Turning to
The switched capacitor circuit shown in
ϕA1=BPSK×ϕ1
ϕA2=BPSK×ϕ2
ϕB2=
If BP SK is 1, then ϕA1=ϕ1, ϕA2=ϕ2 and ϕB1=ϕB2=0. In this case, the circuit operates as a non-inverting discrete integrator whose output at the end of phase ϕ2 is expressed as follows:
It can be noted that the sampling operation is embedded in this equation. The output voltage v01 monitored at the end of ϕ2 (t=nT) is thus a function of the initial condition stored in the capacitor (discrete integration) and the weighted value of the value of the input signal sampled at t=nT−T/2.
It can be ascertained that the switched capacitor circuit 300 shown in
The amplifier can also be sampled at the end of ϕ1. In this case, the output of the amplifier will show a full delay with respect to the time the input was sampled. The sampled value is then determined by the following equation:
A designer of the receiver 108 has the flexibility of choosing the phases accordingly, to guaranteed loop stability. Other possibilities exist if the clock phases are arranged differently.
The case can be considered when the BPSK signal is 0. In this case, ϕB1=ϕ1, ϕB2=ϕ2 and ϕA1=ϕA2=0 The switched capacitor circuit 300 operates in the same way as before, but now the output voltage at t−nT becomes an inverting integrator, as shown here:
According to Eqs. (7) and (9) (shown below), it follows that:
i) the input switches are able to implement the instantaneous sampling operation. The output voltage evaluated at the end of the integrating phase ϕ2 is a function of the input signal evaluated (instantaneous sampling) at the end of clock phase ϕ1;
ii) simple logic AND functions allow generation of the derived clock phases that implement the BPSK modulation without additional analog resources;
iii) jitter in the derived clocks is detrimental and may introduce typical aperture noise. There are well-established formulas that allow evaluation of aperture noise as a function of clock jitter and signal slew rate. In an example, if SIN is placed at intermediate frequency of 40 MHz, it can be expected that the clock jitter will be around or less than 250 psecs (less than 1% of the intermediate frequency period=0.01/40e6).
iv) the switched capacitor circuit is incorporated into a discrete integrator. The operational amplifier serves three purposes: 1) it allows for completion of the sampling operation; 2) it functions as an integrator that can be used as the first stage of the loop filter in the sigma delta modulator 112, and 3) it allows for use of switched capacitor techniques for the implementation of a feedback digital-to-analog converter.
v) when a single bit quantizer is used, the DAC 220 will also be single bit. The DAC 220 can be incorporated in the system by adding capacitors in an array of switches, together with a reference (clean) voltage source. Details of this will be set forth below.
In the frequency domain, employing the Z-domain transformation, it can be as shown that Eq. (7) can also be expressed as follows:
This corresponds to the equation of a discrete non-inverting integrator with a half period delayed output.
Turning to
The DAC comprises an array of switches that connect the feedback capacitors to Vref or −Vref during ϕ2, according to VOD. The switches embedded in the feedback loop operate in a similar fashion as the ones used in the coherent input signal sampler. The switches are controlled by a simple digital logic system that includes a few gates with the functionality given by Eq. (10):
ϕC1=VOD×ϕ1
ϕC2=VOD×ϕ2
ϕD1=
ϕD2=
The loop gain can be obtained using the following algorithm:
The signal and noise transfer functions may then be computed as follows:
It can be noted that for the case Ci=CD=Cf, these equations reduce to the following simpler expressions:
It can further be noted from Eq. (14) that the loop's integrator does not filter the input signal, and accordingly, the spectrum at the input of the signal SIN is to be band-limited. The signal to quantization noise can now be computed. Although not accurate, it can be assumed that the quantization noise is random with a noise power density given by Q(z)2, such that first order approximations can be obtained:
The first term represents the signal power-to-quantization noise ratio of the standalone single bit quantizer. The second term represents the benefit in SQNR due to the closed loop operation of the sigma delta modulator 112. The following can be assumed:
Given such assumption, in a first order approximation, the SQNR of the sigma delta modulator 112 improves −5.2+30×log 10(OSR) dB with respect to the quantizer's SQNR. For the case of OSR=10, the improvement is approximately 24.8 dB.
Employing the classic equation for SQNR of the standalone quantizer (A/D) given by 6.02N+1.76 dB, Eq. (16) simplifies for the case of a single bit quantizer to the following:
SQNR(dB)≅6.02+1.76−5.2+30×log 10(OSR)=2.58+30×log 10(OSR) (18)
The SQNR of the standalone quantizer is approximately equal to the 6.02+1.76 dB=7.78 dB.
The single bit first order sigma delta modulator can reduce quantization noise by more than 25 dB with respect to the standalone one bit quantizer. This reduction in quantization noise also drastically reduces the correlation between quantization noise and the input signal SIN. The remaining noise is then more random, making more effective the de-noising techniques conventionally used in the digital domain.
In summary, the design shown in
With more specificity, the digital logic controls ϕC1, ϕC2, ϕD1, and ϕD1 to flip polarity of the sample and hold circuit, and further controls ϕ1 and ϕ2 to provide a sample and hold function, which allows for relatively accurate removal of the modulation sequence from SIN during sampling. This, in turn, allows for the analog to digital conversion (quantizing) to be performed at a lower bandwidth. For example, the analog to digital conversion can be over a Doppler bandwidth, rather than the entirety of the bandwidth of SIN. In the portion 400 of the receiver shown in
Further, while the portion 400 of the receiver has been described as removing BPSK modulation from SIN, it is to be understood that the portion 400 of the receiver can be configured to remove any suitable vector modulation from SIN. For example, the digital logic can be configured to cause phase-shift keying (PSK) modulation to be removed from a received signal (SIN), frequency modulation (FM) to be removed from a received signal, or the like.
Moreover, the acts described herein may be computer-executable instructions that can be implemented by one or more processors and/or stored on a computer-readable medium or media. The computer-executable instructions can include a routine, a sub-routine, programs, a thread of execution, and/or the like. Still further, results of acts of the methodologies can be stored in a computer-readable medium, displayed on a display device, and/or the like.
Referring now to
At 506, the input analog signal is processed to generate a digital signal. Processing the input analog signal comprises converting a baseband analog signal to the digital signal through use of a sigma delta modulator, where the baseband analog signal is a function of the input analog signal. The methodology 500 completes at 508.
With reference to
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable modification and alteration of the above devices or methodologies for purposes of describing the aforementioned aspects, but one of ordinary skill in the art can recognize that many further modifications and permutations of various aspects are possible. Accordingly, the described aspects are intended to embrace all such alterations, modifications, and variations that fall within the spirit and scope of the appended claims. Furthermore, to the extent that the term “includes” is used in either the details description or the claims, such term is intended to be inclusive in a manner similar to the term “comprising” as “comprising” is interpreted when employed as a transitional word in a claim.
This invention was developed under Contract DE-AC04-94AL85000 between Sandia Corporation and the U.S. Department of Energy. The U.S. Government has certain rights in this invention.
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