Title :
Optimal Low-Frequency Filter Design for Uncertain 2-1 Sigma-Delta Modulators
Author :
McKernan, John ; Gani, Mahbub ; Yang, Fuwen ; Henrio, Didier
Author_Institution :
Dept. of Electron. Eng., King´´s Coll. London, London
fDate :
5/1/2009 12:00:00 AM
Abstract :
Variability in the analogue components of integrators in cascaded 2-1 sigma-delta modulators causes imperfect cancellation of first stage quantization noise, and reduced signal-to-noise ratio in analogue-to-digital converters. Design of robust matching filters based on low-frequency weighted convex optimization over uncertain linearized representations are mathematically very complex and computationally intensive, and offer little insight into the solution. This letter describes a design method based on formal optimization of a low-frequency uncertain linearized model of the modulator, and leads to a simple intuitive result which can shed light on the more complex models. Simulation results confirm the optimal properties of the filter.
Keywords :
convex programming; matched filters; quantisation (signal); sigma-delta modulation; analogue components; analogue-to-digital converters; digital signal processing; formal optimization; integrators; optimal low-frequency filter design; quantization noise; robust matching filters; signal-to-noise ratio; uncertain 2-1 sigma-delta modulators; weighted convex optimization; Delta-sigma modulation; Design methodology; Design optimization; Low-frequency noise; Matched filters; Noise cancellation; Noise reduction; Noise robustness; Quantization; Signal to noise ratio; Cascaded delta-sigma modulator; convex optimization; nominal filter; robust filter;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2016456