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

Content Provider	IEEE Xplore Digital Library
Author	Weixian Liu Yilong Lu Fu, J.S.
Copyright Year	2001
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore (Weixian Liu)
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 the 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.
Sponsorship	IEEE Atlanta Sect.
Starting Page	275
Ending Page	278
File Size	298167
Page Count	4
File Format	PDF
ISBN	0780367073
DOI	10.1109/NRC.2001.922990
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-05-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biological cells Genetic algorithms Radar detection Narrowband Testing Equations Statistical distributions Interference Sensor fusion Sensor phenomena and characterization
Content Type	Text
Resource Type	Article

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