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CFAR data fusion using fuzzy integration

S. W. Leung, J. W. Minett

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This paper presents a new approach to Constant False Alarm Rate (CFAR) data fusion using Fuzzy Integration. The paper describes how any CFAR scheme may be implemented as part of a fuzzy data fusion scheme by choosing an appropriate membership function to represent the CFAR threshold. Once the threshold membership function of the Fuzzy Integrator has been set up, the false alarm rate of the scheme is independent of fluctuations in interference mean power and depends only on the number of signals integrated by the data fusion unit and the required false alarm rate.
Original languageEnglish
Title of host publicationIEEE International Conference on Fuzzy Systems
PublisherIEEE
Pages1291-1295
Volume2
Publication statusPublished - 1996
EventProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA
Duration: 8 Sept 199611 Sept 1996

Publication series

Name
Volume2

Conference

ConferenceProceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3)
CityNew Orleans, LA, USA
Period8/09/9611/09/96

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