Noise-Shaping DAC Architecture for Quantization Noise Reduction
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Solution Overview
Problem
Conventional digital-to-analog converters introduce quantization noise that limits communication system performance, requiring a large number of bits and increased size and complexity, which raises costs and complexity.
Innovation Solution
A noise shaping module with specific filter transfer functions is incorporated into the system to suppress quantization noise, matching the communication channel's frequency response, thereby equalizing noise components in the frequency domain and reducing noise power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional digital-to-analog converters are used with a large number of bits to reduce quantization noise, then noise performance is improved, but device size and complexity increase
Solution Approach 1:
The patent applies preliminary action by shaping the quantization noise spectrum before it enters the communication channel. The noise shaping filter pre-processes the quantization noise to push its energy away from the signal band, so that when the signal is transmitted through the channel, the noise does not degrade performance as much. This allows the use of fewer bits while achieving the same effective noise performance.
Solution Approach 2:
The patent changes the spectral distribution parameter of quantization noise using a noise shaping filter with transfer function H(z). By modifying the noise spectrum shape rather than reducing noise power directly, the system achieves better noise performance with fewer converter bits, thereby reducing DAC complexity while maintaining or improving noise performance.
2Reliability
If more bits are used in the digital-to-analog converter to reduce quantization noise impact, then system performance is improved, but cost increases
Solution Approach 1:
The noise shaping filter performs preliminary noise management by redistributing quantization noise energy in the frequency domain before transmission. This pre-shaping allows the system to achieve reliable communication performance with fewer converter bits, directly reducing the cost of the digital-to-analog converter while maintaining system reliability.
Solution Approach 2:
By changing the spectral parameters of quantization noise through filtering, the system achieves better effective noise performance without increasing bit depth. This parameter transformation approach allows cost reduction in the DAC while maintaining communication reliability through intelligent noise spectrum management.
Data Source
AI summary
A noise shaping module comprises a first addition module that receives a digital input signal and generates an output signal. A truncation module generates a truncated output signal based on an output of said first addition module. A filter module generates a filtered output based on a combination of output signal of the first addition module and the truncated output signal of the first truncation module.