Title :
Polyphase IIR decimation filter design for oversampled A/D converters with approximately linear phase
Author :
Ma, Z.P. ; Leung, Bosco
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
fDate :
8/1/1992 12:00:00 AM
Abstract :
The authors describe a polyphase IIR decimation filter design methodology for oversampled A/D converters by formulating a general nonlinear programming problem that optimizes magnitude response under certain phase linearity constraints. It provides the flexibility of maximizing the signal-to-noise (SNR) when quantization noise with an arbitrary spectral density is presented. A numerical method, the samples-sum-estimation (SSE) method, is introduced to simplify the objective function. Examples show that the proposed design enjoys at least a factor of two reduction in the multiplication rate when compared with conventional FIR filters. This implementation becomes more attractive for applications in modulators with multibit output such as the MASH modulator as well as Σ-Δ modulators with a multibit internal quantizer. The proposed design achieves a SNR of less than 1 dB from that obtained with an ideal low-pass filter at different decimation ratios while the group delay displays an approximately constant value
Keywords :
analogue-digital conversion; digital filters; nonlinear programming; ADC; MASH modulator; SNR; design methodology; filter design; group delay; magnitude response; multibit internal quantizer; multiplication rate; nonlinear programming problem; numerical method; objective function; oversampled A/D converters; phase linearity constraints; polyphase IIR decimation filter; quantization noise; samples-sum-estimation; sigma-delta modulators; Constraint optimization; Design methodology; Design optimization; Finite impulse response filter; IIR filters; Linear programming; Linearity; Multi-stage noise shaping; Quantization; Signal to noise ratio;
Journal_Title :
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on