An exact Bayesian detector for multistatic passive radar

Stephen D. Howard, Songsri Sirianunpiboon, Douglas Cochran

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

An exact Bayesian likelihood ratio is derived for detecting the presence of a rank-2 signal in M > 2 channels of noisy receiver data under the assumption that the signal is known to be present on K = 2 of the channels (reference channels). The objective of the test is thus to ascertain whether the signal is also present on the other channels (surveillance channels). The performance of the Bayesian detector is compared to that of the generalized likelihood ratio test (GLRT). In this scenario, the Bayesian detector is found to be quite significantly better than the GLRT.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
PublisherIEEE Computer Society
Pages1077-1080
Number of pages4
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

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Keywords

  • Bayesian detector
  • GLRT
  • Multi-channel detection
  • Passive radar

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Cite this

Howard, S. D., Sirianunpiboon, S., & Cochran, D. (2017). An exact Bayesian detector for multistatic passive radar. In Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 (pp. 1077-1080). [7869535] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2016.7869535