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Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar

Physical modeling and spectrum spread analysis of surface clutter in forward scattering radar

作     者:LONG Teng, HU Cheng, ZENG Tao & LI XiaoLiang Radar Research Laboratory, Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, China 

作者机构:Radar Research Laboratory Department of Electronic Engineering Beijing Institute of Technology Beijing China 

出 版 物:《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期:2010年第53卷第11期

页      面:2310-2322页

核心收录:

学科分类:080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基  金:supported by the key project of the National Natural Science Foundation of China (Grant Nos.60890073, 60890071-17, 60890072-13, 61032009) partially supported by the Program for New Century Excellent Talents in University (Grant No. NCET-06-0162) 

主  题:forward scattering radar clutter spectrum pendulum model formation mechanism 

摘      要:In this paper, based on the processing results of measured clutter data in forward scattering radar, a special phenomenon that the clutter spectrum spread is insensitive to the wind speed and carrier frequency is observed. The pendulum model is first time introduced into the physical modeling and formation mechanism analysis of surface clutter, and the quantitative expression of clutter spectrum spread is analytically obtained. Under the assumption of pendulum model, the processing results of measured clutter data agree well with the results of theoretical analysis, which fully verifies the correctness of pendulum model and reveals the formation mechanism of surface clutter spectrum in forward scattering radar. Furthermore, according to the stability of clutter spectrum spread with respect to carrier frequencies and wind speed, the optimal cutofrequencies of clutter filter can be obtained, which establishes the basis for moving target detection and accurate parameters estimation.

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