电子学报 ›› 2022, Vol. 50 ›› Issue (9): 2110-2118.DOI: 10.12263/DZXB.20201364

• 学术论文 • 上一篇    下一篇

基于阵列划分的近场DOA估计算法

陈光辉1, 曾孝平1, 焦爽2   

  1. 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
  • 收稿日期:2020-12-01 修回日期:2021-08-31 出版日期:2022-09-25
    • 通讯作者:
    • 曾孝平
    • 作者简介:
    • 陈光辉 男, 1996年生, 河南郸城人, 现为重庆大学微电子与通信工程学院研究生, 主要研究方向: 阵列信号处理.E-mail: chenguanghui@cqu.edu.cn
      曾孝平() 男, 1956年生, 四川广安人, 现为重庆大学微电子与通信工程学院教授, 主要研究方向: 阵列信号处理,智能通信.E-mail: zxp@cqu.edu.cn
      焦 爽 女, 1996年生, 河南延津人, 现为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工程师.主要研究方向: 阵列信号处理.E-mail: 1415523904@qq.com
    • 基金资助:
    • 重庆市技术创新与应用发展专项重点项目 (cstc2019jscx-zdztzxX0045)

Near-Field DOA Estimation Algorithm Using Array Partition

CHEN Guang-hui1, ZENG Xiao-ping1, JIAO Shuang2   

  1. 1.College of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China
    2.Central South Electric Power Test Research Institute,China Datang Group Science and Technology Research Institute Co. ,Ltd. ,Zhengzhou,Henan 450000,China
  • Received:2020-12-01 Revised:2021-08-31 Online:2022-09-25 Published:2022-10-26
    • Corresponding author:
    • ZENG Xiao-ping

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.

关键词: DOA估计, 近场, 阵列划分, 四阶累积量, 空间谱, 距离

Abstract:

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 algorithm. 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.

Key words: DOA estimation, near-field, array partition, fourth-order cumulant, spectral peak, range

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