Waveform design for sequential detection with subspace interference

Moti Teitel, Joseph Tabrikian

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

10 Scopus citations

Abstract

This paper addresses the problem of adaptive waveform design for target detection using sequential hypothesis testing. In the proposed scheme, the transmit waveform is determined based on previous measurements. The sequential framework is especially adequate in cases of composite hypothesis testing, where the different hypotheses depend on unknown parameters. With each new observation, additional statistical information regarding the unknown parameters is obtained with decreasing uncertainty. We derive a sequential test based on the generalized likelihood ratio test (GLRT), which is applied for target detection in the presence of subspace interference, and propose a waveform design scheme based on the Kullback-Leibler divergence. It is shown by simulations that the proposed scheme requires fewer observations compared to non-adaptive waveform transmission in order to achieve desired error rates.

Original languageEnglish
Title of host publication2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages401-404
Number of pages4
DOIs
StatePublished - 12 Oct 2012
Event2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States
Duration: 17 Jun 201220 Jun 2012

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Conference

Conference2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Country/TerritoryUnited States
CityHoboken, NJ
Period17/06/1220/06/12

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