基于子矩阵波束形成输出直流响应加权的目标检测方法

发布时间：2018-04-15 06:40

本文选题：目标检测 + 特征分析　；参考：《计算机应用》2017年09期

【摘要】：针对同一单频带内未知目标检测中强、弱目标不能同时被检测问题,依据不同子矩阵波束形成输出直流响应值不同,提出一种基于子矩阵波束形成输出直流响应加权的目标检测方法。首先,利用特征分析技术对线列阵接收数据协方差矩阵进行特征分解;然后,对各特征向量进行共轭相乘得到相应子矩阵,并对子矩阵进行波束形成,利用各子矩阵波束形成输出直流响应值的差异形成加权因子;最后,利用该加权因子对各子矩阵波束形成输出结果进行加权统计得到最终合成结果,提升弱目标子矩阵波束形成输出结果在最终合成结果的比重,实现对同一单频带内未知目标的有效检测。理论分析、数值仿真和实测数据处理结果均证明了,在仿真条件下,相比常规波束形成和常规子空间重构法,所提方法使弱目标子矩阵波束形成输出结果在最终合成结果的比重由0.09%变为45.36%,降低了背景噪声和强目标对未知目标检测的影响,减小了目标间输出直流响应值的差异,改善了对同一单频带内未知目标的检测性能。
[Abstract]:In order to solve the problem that strong or weak targets can not be detected simultaneously in the same single frequency band, the output DC response values are different according to different sub-matrix beamforming.A target detection method based on weighting DC response of submatrix beamforming output is proposed.Firstly, the feature analysis technique is used to decompose the covariance matrix of the received data of the linear array, then the corresponding submatrix is obtained by conjugate multiplication of each eigenvector, and the sub-matrix is beamforming.The difference of DC response value of each sub-matrix beamforming is used to form the weighting factor. Finally, the final composite result is obtained by using the weighting factor to calculate the output of each sub-matrix beamforming.The proportion of the beamforming output of the weak target submatrix in the final synthesis is increased, and the effective detection of unknown targets in the same single frequency band is realized.Theoretical analysis, numerical simulation and measured data processing results show that, compared with conventional beamforming and conventional subspace reconstruction methods,The proposed method changes the proportion of beamforming output from 0.09% to 45.36%, reduces the influence of background noise and strong target on unknown target detection, and reduces the difference of output DC response between targets.The detection performance of unknown targets in the same single frequency band is improved.
【作者单位】：北京物资学院信息学院;
【基金】：国家自然科学基金资助项目北京市属高等学校青年拔尖人才培育计划项目(CIT&TCD201504052) 北京物资学院国家级科研项目培训基金资助项目(GJB20141003);北京物资学院青年运河学者资助项目~~
【分类号】：TN911.7

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