Non-Uniform Signal Quantization for Low-Precision ADC Decoding
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Solution Overview
Problem
Existing quantization methods, particularly for low-precision analog-to-digital converters, result in significant quantization errors due to uniform distribution assumptions, leading to reduced decoding performance.
Innovation Solution
Determine quantization levels based on the signal distribution parameters of the input signal, allowing for non-uniform intervals between adjacent levels to minimize quantization error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform quantization levels are used, then the quantization process is simple, but the quantization error increases significantly
Solution Approach 1:
The patent changes the quantization level parameters from uniform intervals to non-uniform intervals based on signal distribution characteristics. By adjusting the quantization level parameters to match the actual signal distribution, the quantization error is reduced while maintaining reasonable system complexity.
Solution Approach 2:
The patent applies different quantization strategies to different regions of the signal distribution. By identifying high-probability signal regions and allocating more quantization levels to these regions, the quantization accuracy is improved where it matters most, while using fewer levels in low-probability regions.
2Device complexity
If low-precision ADC is used, then the device complexity and cost are reduced, but the quantization error increases
Solution Approach 1:
The patent changes the quantization parameter distribution to match the signal distribution characteristics. By using non-uniform quantization levels that concentrate resolution where the signal is most likely to occur, low-precision ADCs can achieve effective high-precision quantization performance.
Solution Approach 2:
The patent introduces signal distribution parameters to optimize the quantization process. By adapting the quantization levels based on estimated signal distribution, the system achieves better quantization accuracy without increasing ADC precision requirements.
3Measurement precision
If non-uniform quantization levels are used, then the quantization error is reduced, but the device complexity increases
Solution Approach 1:
The patent performs preliminary estimation of signal distribution parameters before quantization. By pre-determining the signal distribution characteristics and using these to set the quantization levels in advance, the system achieves accurate non-uniform quantization without adding complex real-time processing requirements.
Solution Approach 2:
The patent replaces complex hardware-based precision ADCs with software-based signal distribution estimation and non-uniform quantization algorithms. This substitution achieves similar or better quantization accuracy through computational methods rather than hardware precision.
Data Source
AI summary
A signal processing method and an apparatus thereof. A first signal is received, wherein the first signal includes x symbols. N types of quantization levels are determined based on a signal distribution parameter of the first signal. A second signal is determined based on the first signal. Quantization processing is performed on the second signal to obtain x groups of first quantization results, wherein the x symbols are in one-to-one correspondence with the x groups of first quantization results. The x groups of first quantization results are mapped to a quantized first signal, wherein the quantized first signal includes x quantization levels, and each group of first quantization results is mapped to one of the N types of quantization levels. Signal processing is performed on the quantized first signal.