On the Polyphase Decomposition for Design of Generalized Comb Decimation Filters

TL;DR

This paper introduces an efficient partial polyphase architecture for generalized comb filters, improving decimation performance and enabling multiplier-less designs through a detailed frequency response analysis.

Contribution

It proposes a novel partial polyphase architecture for GCFs and provides a mathematical framework for multiplier-less filter design.

Findings

Reduced data rate after Sigma-Delta A/D conversion.

Complete characterization of GCF frequency response dependence on quantization.

Impulse response derivation for a 3rd order GCF filter.

Abstract

Generalized comb filters (GCFs) are efficient anti-aliasing decimation filters with improved selectivity and quantization noise (QN) rejection performance around the so called folding bands with respect to classical comb filters. In this paper, we address the design of GCF filters by proposing an efficient partial polyphase architecture with the aim to reduce the data rate as much as possible after the Sigma-Delta A/D conversion. We propose a mathematical framework in order to completely characterize the dependence of the frequency response of GCFs on the quantization of the multipliers embedded in the proposed filter architecture. This analysis paves the way to the design of multiplier-less decimation architectures. We also derive the impulse response of a sample 3rd order GCF filter used as a reference scheme throughout the paper.