Performance comparisons of modified SMI and GLR algorithms

Author

Cai, Lujing ; Wang, Hong

Author_Institution

Dept. of Electr. & Comput. Eng., Syracuse Univ., NY, USA

Volume

27

Issue

3

fYear

1991

fDate

5/1/1991 12:00:00 AM

Firstpage

487

Lastpage

491

Abstract

Adaptive filtering for signal detection in colored interference of unknown statistics is addressed. The detection performance of a modified version of the well-known sample matrix inversion (SMI) algorithm, called the modified SMI (MSMI), is compared with that of the generalized likelihood ratio (GLR) algorithm in colored Gaussian interference. The performance sensitivity of the MSMI and GLR in colored Weibull and log-normal interference is studied via simulation. It is found that there is almost no need to use the more complicated GLR algorithm in Gaussian interference, while in Weibull or log-normal interference the GLR should be preferable to the MSMI

Keywords

adaptive systems; filtering and prediction theory; interference (signal); signal detection; adaptive filtering; colored Gaussian interference; colored Weibull interference; generalized likelihood ratio; log-normal interference; modified algorithms; performance sensitivity; sample matrix inversion; signal detection; simulation; Application software; Computer aided instruction; Interference suppression; Military computing; Radar applications; Radar signal processing; Signal detection; Signal processing algorithms; Sonar; Statistics;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.81430

Filename

81430