互耦条件下MIMO雷达非圆目标稳健角度估计方法

王咸鹏; 国月皓; 黄梦醒; 沈重; 曹春杰; 冯文龙

doi:10.11959/j.issn.1000-436x.2019163

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互耦条件下MIMO雷达非圆目标稳健角度估计方法

学术论文 | 更新时间：2024-06-05

- 互耦条件下MIMO雷达非圆目标稳健角度估计方法
- Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling
- 通信学报 2019年40卷第7期页码：144-150
- 作者机构：
  
  1. 海南大学南海海洋资源利用国家重点实验室，海南海口 570228
  2. 海南大学信息与科学技术学院，海南海口 570228
- 作者简介：
  
  [ "王咸鹏（1986- ），男，海南澄迈人，博士，海南大学教授、博士生导师，主要研究方向为雷达信号处理、阵列信号处理、海洋信息感知与处理技术。" ]
  [ "国月皓（1996- ），男，山东日照人，海南大学硕士生，主要研究方向为阵列信号处理、先进体制雷达信号处理。" ]
  [ "黄梦醒（1973- ），男，河南信阳人，博士，海南大学教授、博士生导师，主要研究方向为海洋信息感知与处理技术、大数据与人工智能。" ]
  [ "沈重（1981- ），男，湖北武汉人，博士，海南大学教授、博士生导师，主要研究方向为海洋信息感知与处理技术、室内定位技术。" ]
  [ "曹春杰（1977- ），男，河北衡水人，博士，海南大学教授、硕士生导师，主要研究方向为海洋信息感知与处理技术、信息安全技术。" ]
  [ "冯文龙（1968- ），男，贵州思南人，海南大学教授、硕士生导师，主要研究方向为海洋信息感知与处理技术、计算机网络技术。" ]
- 基金信息：
  
  海南省重点研发计划基金资助项目(ZDYF2019011);国家自然科学基金资助项目(61701144);海南省教育厅高等学校科学研究基金资助项目(Hnky2018ZD-4);海南大学科研启动基金资助项目(KYQD(ZR)1731)
- DOI：10.11959/j.issn.1000-436x.2019163
  中图分类号： TN958
- 网络出版日期：2019-07，
  
  纸质出版日期：2019-07-25
- 稿件说明：
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王咸鹏, 国月皓, 黄梦醒, 等. 互耦条件下MIMO雷达非圆目标稳健角度估计方法[J]. 通信学报, 2019,40(7):144-150.

Xianpeng WANG, Yuehao GUO, Mengxing HUANG, et al. Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling[J]. Journal on communications, 2019, 40(7): 144-150.
王咸鹏, 国月皓, 黄梦醒, 等. 互耦条件下MIMO雷达非圆目标稳健角度估计方法[J]. 通信学报, 2019,40(7):144-150. DOI： 10.11959/j.issn.1000-436x.2019163.

Xianpeng WANG, Yuehao GUO, Mengxing HUANG, et al. Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling[J]. Journal on communications, 2019, 40(7): 144-150. DOI： 10.11959/j.issn.1000-436x.2019163.

摘要

提出了一种在互耦条件下基于酉张量分解的多输入多输出（MIMO）雷达非圆目标稳健的角度估计算法。所提算法首先在张量域利用互耦系数矩阵的带状对称Toeplitz结构来消除未知互耦的影响，然后通过构造一个特殊的增广张量捕获非圆信号的非圆特性与其固有的多维结构特性，并利用增广张量的 centro-Hermitian 特性通过酉变换转化为实值张量，最后利用高阶奇异值分解（HOSVD）获得信号子空间，结合实值子空间技术获得目标的离开方向（DoD）和到达方向（DoA）估计。由于同时利用信号的非圆结构与多维结构特性，所提算法具有比现有的子空间算法更准确的角度估计性能，同时所提算法只需要实值运算，具有较低的运算复杂度。仿真结果表明，所提算法具有有效性与优越性。

Abstract

A robust angle estimation method for noncircular targets based on unitary tensor decomposition with mutual coupling in multiple-input multiple-output (MIMO) radar was proposed.Firstly

utilizing the banded symmetric Toeplitz structure of the mutual coupling matrix to eliminate the influence of unknown mutual coupling in tensor field.Then a special augmented tensor was constructed to capture the no circularity and its inherent tensor multidimensional structure of noncircular signals.And taking advantage of the centro-Hermitian characteristic of the augmented tensor to transform the sub-tensor into real-values tensor by the unitary transformation.Finally

the signal subspace estimation based on tensor was obtained by taking advantage of the higher-order singular value decomposition (HOSVD) technology

and then the direction-of-departure (DoD) and direction-of-arrival (DoA) estimation was obtained by utilizing the real-values subspace technology.Due to the consideration of both the noncircularity and multidimensional structure

the proposed algorithm has better recognition performance than the existing angle estimation methods.At the same time

the proposed algorithm only requires real-valued operations and has lower computational complexity.Simulation experiments verify the effectiveness and superiority of the proposed algorithm.

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Keywords

references

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