This disclosure generally relates to analog-to-digital conversion and in particular to analog-to-digital converters (ADCS) with enhanced and/or adjustable accuracy.
Several electronic systems require analog-to-digital converters (ADCs) for their function. Depending on the characteristics of the system, there are specific requirements to the ADC and the performance parameters of the ADC. Increased performance as accuracy, resolution and linearity comes at a cost of increased power dissipation due to the laws of physics. The electronics industries therefore strive to obtain the best possible performance at the lowest possible power dissipation.
For many systems, the requirement to the ADC is very dependent on external conditions. For example, in a mobile communication system, the requirements vary according to distance to the base station and the presence of interfering signals. The system is therefore designed to work under worst scenarios resulting in higher requirements for the ADC and other circuitry. This results in an average power dissipation that is much higher than required since the requirements are set for worst case scenarios while the system very seldom operates under these conditions.
System designers therefore need ADCs where the accuracy and performance can be modified during operation. Previously, the solutions have bees able to scale power dissipation with only a few percent by switching on and off auxiliary blocks and adjusting supply currents in the ADC. These solutions suffer from unpredictable performance in the low performance mode since each block work under unintended condition. The range of power dissipation variation is also very small.
SUMMARY OF THE DISCLOSURE
An analog-to-digital converter disclosed herein, comprises several sub-ADCs, a signal input, a digital signal processing block and a digital output. Each sub-ADC converts the input signal with a given accuracy and transfers the output to the digital signal processing block. The average of the results from each sub-ADC is calculated to output a single digital output word with higher Signal-Noise Ratio.
Features and advantages of the disclosed ADCs will be apparent to those of ordinary skill in the art in view of the detailed description of exemplary embodiments which is made with reference to the drawings.
The principle of operation of the disclosed ADCs is based on averaging of multiple ADC channels in order to increase accuracy.
The operation of the circuit as follows. The input signal 104 is applied to an arbitrary number of sub-ADCs 100-102 in parallel. These sub-ADCs can be completely separate ADCs or any combination of multi channel ADCs. This signal can be passed through separate buffers or analog signal conditioning circuitry without altering the principal operation of the disclosed ADCs. Each ADC samples the input signal and converts it to a digital word with a given accuracy. The digital output data ate collected by a digital signal processing block and output in a suitable format for further processing.
The digital signal processing can be performed in different ways depending on desired properties of the output signal. However, the most obvious operation is to calculate the average of the data from each sub-ADC. Calculating the average is equivalent to summing all sub-ADC outputs and if desired truncate the output to a suitable number of bits.
Assuming that the noise is uncorrelated in each of the sub-ADCs, the equivalent output noise is reduced by a factor of 3 dB each time the number of sub-ADCs is doubled. Denoting the signal-to-noise-ratio (SNR) of a single sub-ADC as SNRsub-ADC, the total SNR at the output (SNRtotal) can be shown by Equation (1) below, if Nsub-ADC equals the number of sub-ADCs are used.
SNR
total
=SNR
sub-ADC+10 log10(Nsub-ADC) (1)
This noise acts like ordinary thermal noise can be explained the following way: When adding two sub-ADC outputs, the output signal will double as the input signals are equal. The noise however is uncorrelated and must be added as root mean square (RMS) values resulting in a square root of two increase. Hence the SNR increases by the square root of two.
Adjustable performance can be obtained by the embodiment shown in
With all channels enabled, the total ADC has full performance according to Equation (1). With only one channel enabled, the performance of the ADC is equal to the performance of the sob-ADC. Performance points between can be selected by having other numbers of sub-ADCs enabled.
As an example, with four sub-ADCs the total power dissipation can be adjusted with a factor of four, and total SNR can be adjusted in a 6 dB range
A significant advantage with the disclosed ADCs over traditional approaches is that the performance in the low power modes is predictable. Each sub-ADC will work under optimum conditions, and performance is given by the characteristics of the sub-ADC. Compared to a solution where bias currents are manipulated to non-optimum values, the disclosed ADCs is superior.
Further improvements can be obtained by the embodiments in
The timing diagram in
If the signal band is set equal to FS/2, it is possible to get the same improvement in SNR as predicted by Equation 1. However, the digital signal processing block will be more complex than the averaging function required for the embodiments in
The detailed description is to be construed as exemplary only and does not describe every possible embodiment because describing every possible embodiment would be impractical, if not impossible. Numerous alternative embodiments could be implemented, using either current technology or technology developed after the filing date of this patent, which would still fall within the scope of this disclosure.
This application claims priority to U.S. Provisional Application Ser. No. 61/232,978 filed on Aug. 11, 2009.
Number | Date | Country | |
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Parent | 13389663 | Apr 2012 | US |
Child | 14300889 | US |