中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
radartargetrecognitionalgorithmbasedonrcsobservationsequencesetvaluedidentificationmethod

文献类型:期刊论文

作者Wang Ting; Bi Wenjian; Zhao Yanlong; Xue Wenchao
刊名journalofsystemsscienceandcomplexity
出版日期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
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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