Title :
Decimation IIR filter for oversampled A/D based on multiobjective optimization
Author :
Ma, Z.P. ; Leung, B.
Author_Institution :
Dept. Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Abstract :
Describes a decimation infinite impulse response (IIR) filter design methodology by formulating a multiobjective programming that optimizes both magnitude and phase response. A general condition relating to an approximate linear phase IIR filter design is given. A novel approximation method, called samples-sum-estimation, is introduced to simplify the original objective which provides the flexibility of maximizing the signal-to-noise ratio (SNR) subject to certain anti-aliasing constraints when arbitrary quantization noise power spectral density is presented. Examples show that the proposed design gives SNRs less than 1 dB to the theoretical limit at different decimation ratios, while the group delay displays an approximately constant value
Keywords :
analogue-digital conversion; digital filters; quantisation; SNRs; anti-aliasing constraints; arbitrary quantization; decimation IIR filter; linear phase IIR filter design; magnitude; multiobjective optimization; multiobjective programming; noise power spectral density; oversampled A/D; phase response; samples-sum-estimation; signal-to-noise ratio; Delay; Design methodology; Finite impulse response filter; IIR filters; Multi-stage noise shaping; Noise shaping; Passband; Quantization; Signal to noise ratio; Transfer functions;
Conference_Titel :
Circuits and Systems, 1991., Proceedings of the 34th Midwest Symposium on
Conference_Location :
Monterey, CA
Print_ISBN :
0-7803-0620-1
DOI :
10.1109/MWSCAS.1991.252014