Minimax envelope constrained filter for radar and communications applications

被引：0

作者：

Petrovic, A ^{[1
]}

Zejak, AJ ^{[1
]}

Zrnic, B ^{[1
]}

机构：

[1] Inst IMTEL, Belgrade, Yugoslavia

来源：

TELSIKS '99: 4TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS IN MODERN SATELLITE, CABLE AND BROADCASTING SERVICES, PROCEEDINGS, VOLS 1 AND 2 | 1999年

关键词：

filter design; radar; sonar; spread spectrum communications;

D O I：

暂无

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：

The Envelope Constrained Filter (ECF) is a useful approach to filter design. The authors of the original concept have proposed algorithms for solving the ECF design problem as well. These algorithms use the tools of nonlinear programming. They are based on a feasible solution assumption. In other words, they perform well when the solution can be found. In most radar applications, and in a great number of communications applications, this is not the case. The paper presents novel algorithms for ECF design, based on minimax algorithms: the minimax algorithms are modified in order to solve the ECF design problem. The main feature of the new approach is a better error control in the infeasible solution case.

引用

页码：367 / 369

页数：3

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