Performance Comparisons of Modified SMI and GLR Algorithms

Lujing Cai, Hong Wang

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

When adaptive filtering is used for signal detection in colored interference of unknown statistics, it is often desirable for the system to have a constant false alarm rate (CFAR) feature. The detection performance of a modified version of the well-known sample matrix inversion (SMI) algorithm, called the modified SMI (MSMI), is compared in this paper 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.

Original languageEnglish (US)
Pages (from-to)487-491
Number of pages5
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume27
Issue number3
DOIs
StatePublished - May 1991

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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