基于阵列划分的近场DOA估计算法  

Near-Field DOA Estimation Algorithm Using Array Partition

作　　者：陈光辉 曾孝平[1] 焦爽 CHEN Guang-hui;ZENG Xiao-ping;JIAO Shuang(College of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China;Central South Electric Power Test Research Institute,China Datang Group Science and Technology Research Institute Co.,Ltd.,Zhengzhou,Henan 450000,China)

机构地区：[1]重庆大学微电子与通信工程学院,重庆400044 [2]中国大唐集团科学技术研究院有限公司中南电力试验研究院,河南郑州450000

出　　处：《电子学报》2022年第9期2110-2118,共9页Acta Electronica Sinica

基　　金：重庆市技术创新与应用发展专项重点项目(No.cstc2019jscx-zdztzxX0045,No.cstc2019jscx-zdztzxX0029,No.cstc2019jscx-mbdxX0050)。

摘　　要：该文提出一种利用阵列划分的近场到达方向(Direction Of Arrival,DOA)估计算法.首先,通过划分阵列和四阶累积量构造一个仅包含DOA信息的托普利兹矩阵;然后,由于多重信号分类(Multiple Signal Classification,MUSIC)算法的空间谱在谱峰处是一个断点、且趋近较大值,因此,为得到高分辨率谱峰,该算法通过求解空间谱的一阶导数构造一个新“空间谱”;最后,通过一维MUSIC算法估计近场信源的距离.仿真结果表明,该算法在低信噪比下提高了DOA的估计精度,且不需要二维谱峰搜索,只需K+1次一维谱峰搜索.This paper proposes a near-field direction of arrival(DOA)estimation algorithm by using array partition.Firstly,the fourth-order cumulant and array partition are used to construct a Toeplitz matrix with only DOA information.Secondly,the spatial spectrum of multiple signal classification(MUSIC)algorithm at the spectrum peak is a breakpoint and approaches a larger value.Thus,to obtain high-resolution spectral peak,the first derivative of spatial spectrum is used to construct a new‘spatial spectrum’.Finally,the range of near-field source is estimated by the one-dimensional MUSIC algo⁃rithm.The simulation results show that the proposed algorithm improves the accuracy of DOA estimation at low signal to noise ratio.In addition,the proposed algorithm does not require two-dimensional spectral peak search,and it requires K+1 one-dimensional spectral peak search.

关 键 词：DOA估计 近场 阵列划分 四阶累积量 空间谱 距离 

分 类 号：TN911.23[电子电信—通信与信息系统]