首页 | 官方网站   微博 | 高级检索  
     

基于时空联合估计噪声子空间的MUSIC波束形成方法
引用本文:王思秀,郭文强,汪晓洁,张传朋.基于时空联合估计噪声子空间的MUSIC波束形成方法[J].计算机科学,2021,48(4):282-287.
作者姓名:王思秀  郭文强  汪晓洁  张传朋
作者单位:新疆财经大学网络空间安全学院 乌鲁木齐 830012;新疆财经大学网络空间安全学院 乌鲁木齐 830012;新疆大学信息科学与工程学院 乌鲁木齐 830011;中国科学院 FAST 重点实验室 北京 100101
基金项目:新疆维吾尔自治区高校科研计划项目;国家自然科学基金青年基金项目
摘    要:针对在宽带短脉冲情况下频域MUSIC波束形成过程中噪声子空间估计不稳定的问题,提出了一种基于时空联合估计噪声子空间的MUSIC波束形成方法。该方法首先对线列阵接收数据构造时域复解析数据;然后根据增广数据构造方法和空间滑动的方法,在时域数据长度更短的情况下,稳定实现噪声子空间估计;最后根据估计出的噪声子空间含有的正交特性,通过单位矩阵与噪声特征向量相乘来得到相应波束。数值仿真和实测数据处理结果表明,相比频域MUSIC波束形成方法,该方法减少了稳定获取噪声子空间所需的快拍数,具有较好的稳定性和检测性能,提高了MUSIC波束形成在实际应用中的鲁棒性。

关 键 词:MUSIC波束形成  宽带短脉冲  时域复解析  时空联合估计

MUSIC Beam-forming Method Based on Temporal and Spatial Union Estimation of Noise Subspaces
WANG Si-xiu,GUO Wen-qiang,WANG Xiao-jie,ZHANG Chuan-peng.MUSIC Beam-forming Method Based on Temporal and Spatial Union Estimation of Noise Subspaces[J].Computer Science,2021,48(4):282-287.
Authors:WANG Si-xiu  GUO Wen-qiang  WANG Xiao-jie  ZHANG Chuan-peng
Affiliation:(School of Cyber Science and Engineering,Xinjiang University of Finance and Economics,Urumqi 830012,China;College of Information Science and Engineering,Xinjiang University,Urumqi 830011,China;Key Laboratory of Five-hundred-meter Aperture Spherical Radio Telescope,Chinese Academy of Sciences,Beijing 100101,China)
Abstract:Under the case of broadband short pulse,for the instability problem of noise subspaces estimation in frequency domain MUSIC beam-forming,a MUSIC beam-forming method based on temporal and spatial union estimation of noise subspaces is proposed.Firstly,this method constructs the complex analytic data for liner array receiving data in time domain.Then,according to the construction method of time domain augmented data and the spatial sliding motion method,this method stably realizes noise subspaces estimation with shorter data length.Lastly,based on the orthogonal property of noise subspaces,this method obtains the corresponding beam via identity matrix and noise eigenvector.The numerical simulation and measured data processing results show that,compared with the frequency domain MUSIC beam-forming,the new approach reduces the number of snapshots for stably obtaining noise subspace,has better stability and detection performance,and improves the robustness of MUSIC beam-forming in the practical application.
Keywords:MUSIC beam-forming  Broadband short pulse  Time domain complex analytics  Temporal and spatial union estimation
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号