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  • 吴丙森,刘庆华. 基于稀疏对称阵列的混合信源定位[J]. 雷达科学与技术, 2020, 18(1): 74-81.    [点击复制]
  • WU Bingsen,LIU Qinghua. Mixed Near Field and Far Field Sources Localization Based on Sparse Symmetric Array[J]. Radar Science and Technology, 2020, 18(1): 74-81.   [点击复制]
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基于稀疏对称阵列的混合信源定位
吴丙森,刘庆华
0
(桂林电子科技大学信息与通信学院,广西桂林541004)
摘要:
针对混合信源定位中存在阵列孔径损失的问题,基于稀疏对称阵列提出了一种新的混合信源定位方法。首先,通过不同子阵的接收数据构造一个仅与信源角度有关的特殊四阶累积量矩阵,进而利用MUSIC算法估计出所有信源方位角,然后在每个估计角度上进行距离维的搜索,从而得到近场信源的距离估计。该方法避免了二维搜索,且参数自动配对。同时,稀疏对称阵列的有效使用扩展了阵列孔径,提高了参数估计精度。实验仿真结果表明该算法的有效性。
关键词:  信号处理  稀疏对称阵列  混合信源  四阶累积量  信源定位
DOI:DOI:10.3969/j.issn.1672-2337.2020.01.013
基金项目:国家自然科学基金(No.61861011);广西自然科学基金(No.2016GXNSFAA380036,2018GXNSFAA138091);广西无线宽带通信与信号处理重点实验室主任基金(No.GXKL06160110);广西科技重大开发项目(No.桂科AA17204093)
Mixed Near Field and Far Field Sources Localization Based on Sparse Symmetric Array
WU Bingsen,LIU Qinghua
(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China)
Abstract:
Aperture loss is a serious problem for the localization of mixed sources. A novel algorithm for the localization of mixed sources is presented in this paper. Firstly,by constructing a special cumulant matrix through the observed data of subarray to decouple the directionofarrival (DOA) estimation from the range estimation,we can obtain the DOA estimation of all sources using the MUSIC algorithm. And then,based on the estimated DOAs,the range parameters of nearfield sources can be obtained by searching the range spectrum. In the proposed algorithm,the twodimensional searching is avoided and the parameters are automatically paired. The array aperture achieves better utilization by using the sparse symmetric array,and the algorithm improves the DOA estimation performance. Computer simulations are implemented to verify the effectives of the proposed algorithm.
Key words:  signal processing  sparse symmetric array  mixed sources  four order cumulant  source localization