Detection Probability of a CFAR Matched Filter with Signal Steering Vector Errors

Jun Liu, Weijian Liu, Bo Chen, Hongwei Liu, Hongbin Li

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Our aim in this work is to analyze the detection performance of a constant false alarm rata matched filter (CFAR-MF) which was developed for the detection problem in white Gaussian noise with unknown noise power. An exact expression for the detection probability of the CFAR-MF is derived in the mismatched case where mismatch exists between the actual signal steering vector and the nominal one. This theoretical expression can be used to facilitate the performance evaluation of the CFAR-MF in real-world scenarios when signal mismatch cannot be neglected.

Original languageEnglish
Article number7303927
Pages (from-to)2474-2478
Number of pages5
JournalIEEE Signal Processing Letters
Volume22
Issue number12
DOIs
StatePublished - Dec 2015

Keywords

  • Constant false alarm rate
  • Steering vector mismatch
  • matched filter
  • signal detection

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