The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms

Wang Mingyu; Yu Bianzhang

Volume 24 Issue 5

May 2002

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Article Navigation > Journal of Electronics & Information Technology > 2002 > 24(5): 610-614

Wang Mingyu, Yu Bianzhang . The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms[J]. Journal of Electronics & Information Technology, 2002, 24(5): 610-614.

Citation:

Wang Mingyu, Yu Bianzhang . The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms[J]. Journal of Electronics & Information Technology, 2002, 24(5): 610-614.

Wang Mingyu, Yu Bianzhang . The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms[J]. Journal of Electronics & Information Technology, 2002, 24(5): 610-614.

Citation:

Wang Mingyu, Yu Bianzhang . The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms[J]. Journal of Electronics & Information Technology, 2002, 24(5): 610-614.

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The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms

Received Date: 2000-06-05
Rev Recd Date: 2000-11-16
Publish Date: 2002-05-19

Abstract

Abstract

The distributed multisensor detection system with Order Statistic Constant False Alarm Rate (OS-CFAR) is optimized in terms of fusion rule and (k, T) parameters using Genetic Simulated Annealing Algorithms (GSAAs). A set of quasi-optimum results of a tri-sensor system under identically and unidentically detect conditions are given and analyzed, which proves that GSAAs are efficient for this optimization.

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References(1)

References

M. Barket, P. K. Varshney, Decentralized CFAR signal detection, IEEE Trans. on AES, 1989,AES-25(3), 141-149.[2]A.R. Elias-Fuste, A. Broquetas-Ibars, J. P. Antequera, J. C. M. Yuste, CFAR date fusion center with inhomogeneous receivers, IEEE Trans. on AES, 1992, AES-28(1), 276-285.[3]M.K. Uner, P. K. Varshney, Distributed CFAR detection in homogeneous and nonhomogeneous backgrounds, IEEE Trans. on AES, 1996, AES-32(1), 84-97.[4]周明,孙树栋编,遗传算法原理及应用,北京,国防工业出版社,1999,第四章.

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