利用遺傳模擬退火算法解決分布式OS-CFAR檢測的優(yōu)化問題
The optimization of distributed OS-CFAR detection using genetic simulated annealing algorithms
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摘要: 利用遺傳模擬退火算法(GSAAs)對分布式有序統(tǒng)計恒虛警檢測(OS-CFAR)系統(tǒng)的k,T參數與融合規(guī)則進行了優(yōu)化設計,給出了典型的3傳感器在一致與非一致檢測條件下的一組準最優(yōu)搜索結果。分析表明 GSAAs對于該問題的優(yōu)化具有良好的適應性。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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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,孫樹棟編,遺傳算法原理及應用,北京,國防工業(yè)出版社,1999,第四章. -
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