Thresholding strategy in passive detection via wavelet filter banks

Limin Yu*, Langford B. White

*Corresponding author for this work

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

Abstract

In this paper, we evaluate thresholding algorithms applied in wavelet filter bank (FB) based passive detection in radar and sonar systems. Addressing a random emission with unknown parameters, the emission and the received signal are modelled by a Gaussian process with unknown mean and variance. The wavelet FB decomposes the received signal into subchannels. A decision on the absence and presence of the emission is then made by thresholding against the FB outputs. Formulae are derived to prove the detection performance using different thresholding strategies. A graphical comparison of the detection performances with different strategies and in different scenarios is presented. Design principles are derived under this wavelet FB based detection framework.

Original languageEnglish
Title of host publicationCSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
Pages387-391
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012 - Zhangjiajie, China
Duration: 25 May 201227 May 2012

Publication series

NameCSAE 2012 - Proceedings, 2012 IEEE International Conference on Computer Science and Automation Engineering
Volume3

Conference

Conference2012 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2012
Country/TerritoryChina
CityZhangjiajie
Period25/05/1227/05/12

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