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《Electronics Optics & Control》 2008-08
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Study on parameter estimation in K-distributed sea clutter based on real data

SU Xiao-yang1,CAO Lan-ying1,ZHENG Qi-sheng1,GUO Qiang2(1.The Radar and Avionics Institute,AVIC I,Wuxi 214063,China;2.The Representative Bureau of Navy's Department of Equipment in Xi'an,Xi'an 710054,China)  
It is difficult to estimate distribution parameters about K-distributed sea clutter,thus an adaptive genetic algorithm is put forward.The algorithm takes correlation entropy as the fitness function,implements optimization according to the principle of adaptive mutation,and then obtains the exact estimation of distribution parameters of sea clutter model.Real data processing result showed that:compared with the moment estimate algorithm and maximum likelihood estimate algorithm,the algorithm put forward here has better performance in estimation accuracy and adaptability,which supplies a reference for the design of optimum detection algorithm.
【CateGory Index】: TP18
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