Robust design of envelope-constrained filters in the presence of input uncertainty

Author

Zheng, Wei Xing ; Cantoni, Antonio ; Teo, Kok Lay

Author_Institution

Dept. of Math., Western Sydney Univ., NSW, Australia

Volume

44

Issue

8

fYear

1996

fDate

8/1/1996 12:00:00 AM

Firstpage

1872

Lastpage

1878

Abstract

The maximum robustness design of envelope-constrained filters with uncertain input (ECUI) is formulated as a minimax optimization problem in which the set of feasible filters is characterized by nonsmooth matrix inequalities. An efficient design algorithm is developed to solve this problem by use of a newly developed transformation technique. The attractive feature of this algorithm is that the ECUI filter thus designed can allow for the greatest uncertainty in the input signal while still achieving the acceptable filter performance

Keywords

FIR filters; circuit optimisation; digital filters; matrix algebra; minimax techniques; prediction theory; ECUI filter; FIR filter; design algorithm; envelope-constrained filters; filter performance; input uncertainty; maximum robustness design; minimax optimization problem; nonsmooth matrix inequalities; transformation technique; Algorithm design and analysis; Constraint optimization; Design optimization; Finite impulse response filter; Pulse shaping methods; Robustness; Shape; Signal design; Signal processing algorithms; Uncertainty;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.533709

Filename

533709