Further results on adaptive filtering with embedded CFAR

Lujing Cai, Hong Wang

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Among the few known adaptive filtering algorithms which have an embedded (integrated) constant false alarm rate (CFAR) performance feature, the generalized likelihood ratio (GLR) test algorithm has been found to be robust in non-Gaussian clutter. This paper examines the detection performance of the GLR algorithm in nonhomogeneous/nonstationary clutter environments which lead to nonidentical distribution of secondary (training) data. For two common types of nonhomogeneity, i.e., the so-called `signal contamination' and `clutter edge', the asymptotic detection performance is derived and compared with simulations. These asymptotic results are relatively simple to use and they predict the GLR performance in nonhomogeneous environments quite well. The GLR performance loss due to the nonhomogeneity is also evaluated. It is found that the `generalized angle' between the desired and contaminating signal plays an important role in the study of the effects of signal contamination. It is also found that the performance degradation due to the clutter edge depends largely on the width of the clutter spectrum and target-clutter Doppler separation.

Original languageEnglish (US)
Pages (from-to)1009-1020
Number of pages12
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume30
Issue number4
DOIs
StatePublished - Oct 1994

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Aerospace Engineering
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Further results on adaptive filtering with embedded CFAR'. Together they form a unique fingerprint.

Cite this