Depth-based method for target detection in noisy environments

James Paul Browning, Hugh D. Griffiths, Jeremy Entner, Pinyuen Chen

Research output: Chapter in Book/Entry/PoemConference contribution


In this paper we introduce a novel non-parametric depth-based method for the target detection problem in noisy environments under nominal signal-to-noise ratios. Specifically, a distributed sensor network comprised of multiple transceivers is considered. Each sensor is able to transmit and receive a single tone; which is passed to a super sensor where the data is formed into a multistatic response matrix via a pre-detection fusion algorithm. An algorithm is introduced for the determination of the presence of a target in the background medium. The detection performance versus signal-to-noise ratio is developed for a given false alarm rate and compared to a typical monostatic sensor. The depth-based method is shown to improve upon the performance of a single sensor by a considerable margin.

Original languageEnglish (US)
Title of host publicationIEEE Radar Conference 2013
Subtitle of host publication"The Arctic - The New Frontier", RadarCon 2013
StatePublished - 2013
Event2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013 - Ottawa, ON, Canada
Duration: Apr 29 2013May 3 2013

Publication series

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


Other2013 IEEE Radar Conference: "The Arctic - The New Frontier", RadarCon 2013
CityOttawa, ON

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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