Optimized Analog Filter Designs With Flat Responses by Semidefinite Programming

被引：9

作者：

Hoang, Nguyen Thien ^{[1
]}

Tuan, Hoang Duong ^{[2
]}

Nguyen, Truong Q. ^{[3
]}

Hoang, Hung Gia ^{[2
]}

机构：

[1] Univ Melbourne, Dept Elect & Elect Engn, Parkville, Vic 3052, Australia

[2] Univ New S Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia

[3] Univ Calif San Diego, Dept Elect & Comp Engn, La Jolla, CA 92093 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2009年 / 57卷 / 03期

基金：

澳大利亚研究理事会;

关键词：

Analog filter; convex analysis; global optimization; semidefinite programming (SDP); FORMULATION;

D O I：

10.1109/TSP.2008.2009021

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Analog filters constitute indispensable components of analog circuits. Inspired by recent advances in digital filter design, this paper provides a flexible design for analog filters. All-pole filters have maximally flat passband, so our design minimizes their passband distortion. Analogously, maximally flat filters have maximally flat passband, so our design maximizes their stopband attenuation. Its particular cases provide flexible alternatives to the classical counterparts. Semidefinite program (SDP) formulations for the posed filter design problems are presented, which are efficiently solved by existing optimization software. Several examples and comparisons are provided to validate the viability of our design.

引用

页码：944 / 955

页数：12

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