Fuzzy shadow feature scheme for radar signal detection

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information, Communications and Signal Processing, ICICS
PublisherIEEE
Pages1386-1388
Volume3
Publication statusPublished - 1997

Publication series

Name
Volume3

Conference

TitleProceedings of the 1997 1st International Conference on Information, Communications and Signal Processing, ICICS. Part 3 (of 3)
CitySingapore, Singapore
Period9 - 12 September 1997

Abstract

Shadow Feature algorithms are used to enhance target detectability in radar systems when the target obscures some portion of a nearby clutter field. This paper proposes and describes a new shadow feature algorithm, the Fuzzy Shadow Length Estimation (FSLE) algorithm, to improve the accuracy of shadow length estimation, thereby enhancing the performance of some underlying detection algorithm. The scheme uses Fuzzy membership functions to measure the degree to which signal returns beyond the target resemble a shadow and then estimates the shadow length. It can be applied to any detection algorithm using a binary decision rule. In this paper, the FSLE algorithm is applied to Maximum Likelihood Constant False Alarm Rate (ML-CFAR) detection of a Rayleigh fluctuating target in Weibull Clutter. The FSLE algorithm significantly improves target detectability in situations in which a shadow is cast, particularly in high clutter environments.

Citation Format(s)

Fuzzy shadow feature scheme for radar signal detection. / Leung, S. W.; Minett, James W.

Proceedings of the International Conference on Information, Communications and Signal Processing, ICICS. Vol. 3 IEEE, 1997. p. 1386-1388.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review