Target detection for passive radar with noisy reference channel

Guolong Cui, Jun Liu, Hongbin Li, Braham Himed

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

28 Scopus citations

Abstract

This paper considers the problem of target detection in a passive radar consisting of a reference channel (RC) and a surveillance channel (SC). The RC receives an unknown source signal directly transmitted by a non-cooperative illuminator of opportunity (IO), whereas the SC collects target echoes due to the illumination by the same IO. The conventional solution to this passive detection problem is a cross-correlation (CC) based detector that cross-correlates the reference signal from the RC and the surveillance signal from the SC. It is known that the CC detector is very sensitive to the noise level in the RC. In this paper, we develop four detection algorithms based on the generalized likelihood ratio test principle, by treating the unknown source signal from the IO to be deterministic or stochastic and under conditions whether the noise variance is known or unknown. Our results demonstrate that when the reference signal is noisy, three of the proposed detectors offer significant improvements in detection performance over the CC detector.

Original languageEnglish
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
Pages144-148
Number of pages5
DOIs
StatePublished - 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: 19 May 201423 May 2014

Publication series

NameIEEE National Radar Conference - Proceedings
ISSN (Print)1097-5659

Conference

Conference2014 IEEE Radar Conference, RadarCon 2014
Country/TerritoryUnited States
CityCincinnati, OH
Period19/05/1423/05/14

Keywords

  • Cross-correlation detector
  • generalized likelihood ratio test (GLRT)
  • passive radar
  • reference channel

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