Multiple-channel detection in active sensing

Kaitlyn Beaudet, Douglas Cochran

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

6 Scopus citations

Abstract

The problem of detecting the presence of a known signal in multiple channels of additive noise, such as occurs in active radar with a single transmitter and multiple geographically distributed receivers, is addressed via coherent multiple-channel techniques. The transmitted signal replica is treated as one channel in a suitable M-channel detector with the remaining M - 1 channels comprised of data from the receivers. To accommodate this approach, an invariance result for the distribution of the eigenvalues of a Gram matrix is derived. The result implies that false alarm probabilities for any detector based on a function of the eigenvalues are not changed if one data channel contains a signal replica, provided that the other M - 1 channels only Gaussian noise and all channels are independent.

Original languageEnglish (US)
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages3910-3914
Number of pages5
DOIs
StatePublished - Oct 18 2013
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: May 26 2013May 31 2013

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Other

Other2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
CountryCanada
CityVancouver, BC
Period5/26/135/31/13

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Keywords

  • Active radar
  • Eigenvalue distribution invariance
  • Matched filter
  • Multiple-channel detection
  • Passive coherent radar

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Beaudet, K., & Cochran, D. (2013). Multiple-channel detection in active sensing. In 2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings (pp. 3910-3914). [6638391] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2013.6638391