Least square design of complex finite impulse response filter with elliptic error constraint

被引：0
|
作者：
Zhang S.-W. [2 ]
Xu D. [1 ]
Yuan B. [1 ]
Lai X.-P. [1 ,2 ]
机构：
[1] Institute of Information and Control, Hangzhou Dianzi University
[2] School of Information Engineering, Shandong University at Weihai
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2010年 / 44卷 / 07期
关键词：
Complex finite impulse response filter; Frequency response error; Group-delay error; Magnitude error; Phase error;
D O I：
10.3785/j.issn.1008-973X.2010.07.019
中图分类号：
学科分类号：
摘要：
A frequency response error and phase error constrained least square method was proposed for the optimal design of nonlinear phase finite impulse response (FIR) filter. The method can control the magnitude error and the phase error independently, and results in the convex feasible domain. By using the sigmoid phase-error upper-bound function, the phase error was controlled within the specified value, and the group-delay error was greatly reduced, but the magnitude error generally increased. The elliptic complex-error constraints were introduced to constrain the complex frequency response of the filter in order to decrease the magnitude error. Then the weighted least square design of the complex FIR filter was considered with the elliptic complex-error constraints and the sigmoid phase-error upper bound. Simulation results show that the magnitude error can be effectively reduced.
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页码：1338 / 1342
页数：4
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