Analysis of cross-correlation detector for passive radar applications

Jun Liu, Hongbin Li, Braham Himed

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

7 Scopus citations

Abstract

For passive radar target detection, the cross-correlation (CC) based detector is a popular method, which cross-correlates the signal received in a reference channel (RC) and the signal in a surveillance channel (SC). The CC is simple to implement and resembles the optimum matched filter (MF) in idealistic conditions. However, there is limited understanding on its performance in realistic passive sensing environments with non-negligible noise in the RC and direct-path interference in the SC. This paper examines such effects on the detection performance of the CC detector. First, closed-form expressions for the probabilities of false alarm and detection of the CC detector are derived by using a central limit theory based approximation, which are verified with Monte Carlo simulations. Then, we show analytically to what extent the noise in the RC and the direct-path interference in the SC should be suppressed in order to achieve a desired performance loss of the CC detector with respect to the MF. These results are useful in designing practical CC solutions for passive radar sensing.

Original languageEnglish
Title of host publication2015 IEEE International Radar Conference, RadarCon 2015
Pages772-776
Number of pages5
EditionJune
ISBN (Electronic)9781479982325
DOIs
StatePublished - 22 Jun 2015
Event2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States
Duration: 10 May 201515 May 2015

Publication series

NameIEEE National Radar Conference - Proceedings
NumberJune
Volume2015-June
ISSN (Print)1097-5659

Conference

Conference2015 IEEE International Radar Conference, RadarCon 2015
Country/TerritoryUnited States
CityArlington
Period10/05/1515/05/15

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