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目标后向散射RCS基于MBPE均匀采样的快速计算
引用本文:张晓燕,刘志伟,刘颖婷.目标后向散射RCS基于MBPE均匀采样的快速计算[J].北京理工大学学报,2015,35(11):1152-1157.
作者姓名:张晓燕  刘志伟  刘颖婷
作者单位:华东交通大学信息工程学院,江西,南昌 330013;毫米波国家重点实验室,江苏,南京210096;华东交通大学信息工程学院,江西,南昌 330013
基金项目:国家自然科学基金资助项目(61061002,61261005);江西省教育厅基金资助项目(GJJ13352,GJJ13321);江西省科技厅基金资助项目(20122BAB211018);毫米波国家重点实验室基金资助项目(K201325)
摘    要:根据目标后向散射RCS的计算特点,提出空、频两域的MBPE均匀采样方案.在空间域,提出基于球面波角谱空间展开的宽角度采样方案;在频率域,考虑到在相同角度下观测到的目标会在不同频段下表现出相似的结构特征,提出先在低频段上训练不同入射角下的采样经验,然后再在高频段上进行MBPE插值计算.数值结果表明,在空间域,MBPE的采样点数一般仅为快速多极子采样点数的1/2,并随插值角度范围的缩小而减少;在频率域,MBPE采样点数与频率最大值无关,仅随扫频范围的增大而缓慢增加. 

关 键 词:后向散射RCS  基于模型的参数估计(MBPE)  采样点
收稿时间:2013/7/30 0:00:00

Fast Calculation of the Monostatic RCS by the Objects Based on MBPE Technique with Equispace Sampling
ZHANG Xiao-yan,LIU Zhi-wei and LIU Ying-ting.Fast Calculation of the Monostatic RCS by the Objects Based on MBPE Technique with Equispace Sampling[J].Journal of Beijing Institute of Technology(Natural Science Edition),2015,35(11):1152-1157.
Authors:ZHANG Xiao-yan  LIU Zhi-wei and LIU Ying-ting
Institution:1.School of Information Engineering, Eath China Jiaotong University, Nanchang, Jiangxi 330013, China;State Key Laboratory of Millimeter Waves, Nanjing, Jiangsu 210096, China2.School of Information Engineering, Eath China Jiaotong University, Nanchang, Jiangxi 330013, China
Abstract:It is difficult to select sampling point exactly when the model based parameter estimation(MBPE) method was used to interpolate the monostatic radar cross section(RCS) by the objects in the wide frequency span and wide angle span, especially when the curve shapes of the monostatic RCS fluctuate intensively. Although the adaptive method can solve this problem, it needs to get the exact numerical value of the relative points in advance and it is difficult to be parallelized. By contrast, the uniform sampling method is easy to parallelize, but the sampling scheme should be known at first. In this paper, based on the computation of the monostatic RCS by the objects, the sampling point selections schemes for MBPE interpolation in spatial domain and in frequency domain were proposed. In spatial domain, the sampling points were located along with the sphere wave directions. In frequency domain, depending on the similarity of the RCS's characteristics by the same objects, the sampling experiments were firstly detected in the low frequency, and then were used to calculate the monostatic RCS in the high frequency.Numerical experiments show that in spatial domain, the sampling points of MBPE are only half of sampling points of the fast multipole method(FMM) and will decrease with the narrowing of the angle's scope; in frequency domain, the amount of the MBPE sampling is independent of the maximum frequency, only slowly increases with increasing sweep range.
Keywords:monostatic RCS  model-based parameter estimation  sampling point selections
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