radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod

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	radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod
	Wang Ting; Bi Wenjian; Zhao Yanlong; Xue Wenchao
刊名	journalofsystemsscienceandcomplexity
	2016
卷号	29 期号:3 页码:573
ISSN号	1009-6124
英文摘要	This paper studies the problem of radar target recognition based on radar cross section (RCS) observation sequence. First, the authors compute the discrete wavelet transform of RCS observation sequence and extract a valid statistical feature vector containing five components. These five components represent five different features of the radar target. Second, the authors establish a set-valued model to represent the relation between the feature vector and the authenticity of the radar target. By set-valued identification method, the authors can estimate the system parameter, based on which the recognition criteria is given. In order to illustrate the efficiency of the proposed recognition method, extensive simulations are given finally assuming that the true target is a cone frustum and the RCS of the false target is normally distributed. The results show that the set-valued identification method has a higher recognition rate than the traditional fuzzy classification method and evidential reasoning method.
语种	英语
内容类型	期刊论文
源URL	[http://ir.amss.ac.cn/handle/2S8OKBNM/39640]
专题	系统科学研究所
作者单位	中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Wang Ting,Bi Wenjian,Zhao Yanlong,et al. radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod[J]. journalofsystemsscienceandcomplexity,2016,29(3):573.
APA	Wang Ting,Bi Wenjian,Zhao Yanlong,&Xue Wenchao.(2016).radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod.journalofsystemsscienceandcomplexity,29(3),573.
MLA	Wang Ting,et al."radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod".journalofsystemsscienceandcomplexity 29.3(2016):573.