A thresholding scheme for target detection for noise radar systems based on random matrix theory

Yangsoo Kwon, Ram M. Narayanan, Muralidhar Rangaswamy

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

Abstract

Target detection is one of important roles of radar systems. In this paper, we present a threshold method for multiple target detection for of noise radar systems. In order to avoid ambiguous target detection, we find thresholds to guarantee the detection performance with the same receiving antenna elements for a given false alarm probability. The threshold is computed from the largest and smallest eigenvalue distributions based on random matrix theory. Simulations show that the proposed threshold provides exact target detection.

Original languageEnglish (US)
Title of host publication2014 IEEE Radar Conference
Subtitle of host publicationFrom Sensing to Information, RadarCon 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages692-695
Number of pages4
ISBN (Print)9781479920341
DOIs
StatePublished - 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: May 19 2014May 23 2014

Publication series

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

Other

Other2014 IEEE Radar Conference, RadarCon 2014
CountryUnited States
CityCincinnati, OH
Period5/19/145/23/14

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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