A novel threshold optimization for distributed OS-CFAR of multistatic radar systems by using the genetic algorithm

W. Liu*, Y. Lu, J. S. Fu

*Corresponding author for this work

Research output: Contribution to conferenceConference Paperpeer-review

7 Scopus citations

Abstract

Distributed order statistics constant false alarm rate (OS-CFAR) detection techniques are important for nonstationary observation with varying weak narrowband random signals. However, it is very difficult to choose system parameters to obtain optimal threshold values because of the nonlinear property of distributed OS-CFAR detection system. This paper provides a novel solution based on an effective and flexible genetic algorithm. Using this approach, all system parameters are directly coded in decimal chromosomes and they can be optimized simultaneously. The simulation results show that using the proposed approach one can achieve better performances than the reported methods and results. Furthermore, our method can also be used for more general nonhomogeneous situations with different fusion rules.

Original languageEnglish
Pages275-278
Number of pages4
StatePublished - 2001
Externally publishedYes
Event2001 IEEE Radar Conference - Atlanta, GA, United States
Duration: 01 05 200103 05 2001

Conference

Conference2001 IEEE Radar Conference
Country/TerritoryUnited States
CityAtlanta, GA
Period01/05/0103/05/01

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