Minimax Phase Error Design of Stable IIR Filters Using a Sequential Minimization Method

被引:0
|
作者
Qiao, Hailu [1 ]
Lai, Xiaoping [1 ]
Zhang, Lihua [1 ]
机构
[1] Hangzhou Dianzi Univ, Inst Informat & Control, Hangzhou 310018, Zhejiang, Peoples R China
来源
2014 33RD CHINESE CONTROL CONFERENCE (CCC) | 2014年
关键词
IIR digital filters; elliptical constraints; minimax design; stability triangle; sequential minimization method; DIGITAL-FILTERS; FIR FILTERS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the design of IIR digital filters, one challenge is their inherent non-linear phase responses. The double-ellipse model controls the phase error and magnitude error separately and is a good candidate for near linear-phase IIR filter design. Another challenge is their stability conditions. The stability-triangle condition defines a necessary and sufficient stability domain of an IIR filter, and thus is much preferable in the design of IIR filters. This paper incorporates the stability-triangle conditions with the double-ellipse model, and then applies a sequential minimization method to solve the magnitude constrained minimax phase error design of IIR filters. Design examples demonstrate that the proposed method has obtained better filters with smaller phase error than existing algorithms.
引用
收藏
页码:7323 / 7327
页数:5
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