NOVEL RADAR SIGNAL SORTING METHOD BASED ON GEOMETRIC COVERING  

作　　者：万建 国强 宋文明 

机构地区：[1]Information and Communication Engineering College,Harbin Engineering University

出　　处：《Transactions of Nanjing University of Aeronautics and Astronautics》2013年第4期383-388,共6页南京航空航天大学学报（英文版）

基　　金：Supported by the National Natural Science Foundation of China(61240007);the Fundamental Re-search Funds for the Central Universities(HEUCF130805);the Key Science and Technology Project of Harbin(2011AA2CG007-2);the Chinese Postdoctoral Science Foundation Funded Projects(20080430903);the Chinese Postdoctoral Science Foundation Specially Funded Projects(200902411);the Heilongjiang Post-doctoral Research Foundation(LBH-Q10140,LBH-Q12122,LBH-Q12136)

摘　　要：With the increase of complexity of electromagnetic environment and continuous appearance of advanced system radars,signals received by radar reconnaissance receivers become even more intensive and complex.Therefore,traditional radar sorting methods based on neural network algorithms and support vector machine(SVM) cannot process them effectively.Aiming at solving this problem,a novel radar signal sorting method based on the cloud model theory and the geometric covering algorithm is proposed.By applying the geometric covering algorithm to divide input signals into different covering domains based on their distribution characteristics,the method can overcome a typical problem that it is easy for traditional sorting algorithms to fall into the local extrema due to the use of complex nonlinear equation to describe input signals.The method uses the cloud model to describe the membership degree between signals to be sorted and their covering domains,thus it avoids the disadvantage that traditional sorting methods based on hard clustering cannot deinterleave the signal samples with overlapped parameters. Experimental results show that the presented method can effectively sort advanced system radar signals with overlapped parameters in complex electromagnetic environment.With the increase of complexity of electromagnetic environment and continuous appearance of advanced system radars, signals received by radar reconnaissance receivers become even more intensive and complex. There- fore, traditional radar sorting methods based on neural network algorithms and support vector machine （SVM） cannot process them effectively. Aiming at solving this problem, a novel radar signal sorting method based on the cloud model theory and the geometric covering algorithm is proposed. By applying the geometric covering algo- rithm to divide input signals into different covering domains based on their distribution characteristics, the method can overcome a typical problem that it is easy for traditional sorting algorithms to fall into the local extrema due to the use of complex nonlinear equation to describe input signals. The method uses the cloud model to describe the membership degree between signals to be sorted and their covering domains, thus it avoids the disadvantage that traditional sorting methods based on hard clustering cannot deinterleave the signal samples with overlapped param- eters. Experimental results show that the presented method can effectively sort advanced system radar signals with overlapped parameters in complex electromagnetic environment.

关 键 词：radar emitter signal sorting geometric covering 

分 类 号：V2[航空宇航科学技术]