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作 者:武时龙[1] WU Shilong(Suzhou Vocational and Technical College,Suzhou 234000,China)
机构地区:[1]宿州职业技术学院计算机信息系,安徽宿州234000
出 处:《探测与控制学报》2018年第6期84-88,共5页Journal of Detection & Control
基 金:安徽省高校优秀青年人才支持计划项目(gxyq2017093)
摘 要:针对最小方差无畸变响应(MVDR)波束形成中背景噪声和旁瓣级对弱目标检测影响问题,提出了基于分子阵预处理的MVDR波束形成方法。该方法首先对线列阵接收数据进行分组处理;然后按搜索角度对各组数据进行相移、相加处理,得到一组新数据;最后按MVDR波束形成思想对该组新数据进行处理,可得到低背景噪声和旁瓣级波束。理论推导分析、数值仿真和实测数据处理结果均表明,该方法对线列阵接收数据进行了分子阵预处理,相比MVDR波束形成,有效提高了线列阵接收数据协方差矩阵中信号含有量和信噪比,输出背景噪声级和旁瓣级得到了10dB以上的改善,降低了背景噪声和旁瓣级对MVDR波束形成检测弱目标的影响,提高了MVDR波束形成对弱目标的检测效果。For the impact problem of the side-lobe level and background noise of minimum variance undistorted response beam-forming on weak targets detection,the MVDR beam-forming method based on sub-array preprocessing was proposed.Firstly,this method made sub-group preprocessing for linear array receiving data.Then,phase shift and addition pretreatment were carried out for the data of sub-group on the search angle,and obtained a new set of data.Lastly,the low background noise level and side-lobe level beam of the search angle was obtained by MVDR beam-forming.Theoretical analysis,numerical simulation and experimental results showed that this method preprocessed sub-array for the linear array receiving data,compared with MVDR beam-forming,improved the signal and SNR of covariance matrix,improved the background noise level and side-lobe level more than 10 dB,and reduced the impact of side-lobe level and background noise on weak targets detection,and improved the detection effect of MVDR beam-forming for weak target.
关 键 词:最小方差无畸变响应波束形成 分子阵预处理 旁瓣级 弱目标检测
分 类 号:TB566[交通运输工程—水声工程]
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