基于耦合张量分解的稀疏阵列二维DOA估计算法

doi:10.12305/j.issn.1001-506X.2023.04.03

系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (4): 958-964.doi: 10.12305/j.issn.1001-506X.2023.04.03

• 电子技术 • 上一篇

基于耦合张量分解的稀疏阵列二维DOA估计算法

任明健¹^,², 胡国平¹^,*, 周豪¹, 游致远¹^,², 张凌培³

1. 空军工程大学防空反导学院, 陕西西安 710038
2. 空军工程大学研究生院, 陕西西安 710038
3. 中国人民解放军95517部队, 四川成都 610000

收稿日期:2022-02-07 出版日期:2023-03-29 发布日期:2023-03-28
通讯作者: 胡国平
作者简介:任明健(1997—), 男, 硕士研究生, 主要研究方向为稀疏阵列信号处理、张量分解
胡国平(1964—), 男, 教授, 博士研究生导师, 博士，主要研究方向为雷达信号与信息处理、阵列信号处理、雷达反隐身技术和图像处理
周豪(1990—), 男, 讲师, 博士, 主要研究方向为低空目标探测技术
游致远(1998—), 男, 硕士研究生, 主要研究方向为稀疏阵列MIMO雷达信号处理
张凌培(1997—), 男, 助理工程师, 主要研究方向为稀疏阵列信号处理

DOA estimation algorithm with two-dimensional sparse array based on coupling tensor decomposition

Mingjian REN¹^,², Guoping HU¹^,*, Hao ZHOU¹, Zhiyuan YOU¹^,², Lingpei ZHANG³

1. Air Defense and Missile Defense College, Air Force Engineering University, Xi'an 710038, China
2. Graduate School, Air Force Engineering University, Xi'an 710038, China
3. Unit 95517 of the PLA, Chengdu 610000, China

Received:2022-02-07 Online:2023-03-29 Published:2023-03-28
Contact: Guoping HU

摘要/Abstract

摘要：

传统基于张量分解的稀疏阵列波达方向(direction of arrival, DOA)估计, 通常将协方差矩阵直接进行划分来构建满秩张量, 但这种方法没有考虑数据间的结构信息, 使得信息利用不充分。针对这一问题, 提出了一种基于数据间耦合关系的张量分解算法。根据信息间的结构特点, 构建在俯仰和方位维度能分别利用耦合特性的两个三阶张量。通过张量分解从中估计出两组角度值, 将其中利用耦合特性估计出的角度值作为DOA值, 伴随产生的估计值用作角度匹配。仿真结果验证了所提算法可进一步提升对数据间耦合信息的利用, 有效提高二维DOA估计的精度。

关键词: 耦合张量, 稀疏阵列, 波达方向估计

Abstract:

The traditional sparse array direction of arrival (DOA) estimation based on tensor decomposition usually divides the covariance matrix directly to construct the full rank tensor, but this method does not consider the structural information between data, which makes the information underutilized. To solve this problem, an improved tensor decomposition algorithm based on the coupling relationship between data is proposed. According to the structural characteristics of information, two third-order tensors which can use the coupling characteristics in elevation and azimuth dimensions are constructed. Two sets of angle values are estimated by tensor decomposition. The angle value estimated by using the coupling characteristics is used as the DOA value, and the accompanying estimated value is used as the angle matching. Simulation results show that the proposed algorithm can further improve the utilization of coupling information between data and effectively improve the accuracy of two-dimensional DOA estimation.

Key words: coupling tensor, sparse array, direction of arrival (DOA) estimation

中图分类号:

TN953

任明健, 胡国平, 周豪, 游致远, 张凌培. 基于耦合张量分解的稀疏阵列二维DOA估计算法[J]. 系统工程与电子技术, 2023, 45(4): 958-964.

Mingjian REN, Guoping HU, Hao ZHOU, Zhiyuan YOU, Lingpei ZHANG. DOA estimation algorithm with two-dimensional sparse array based on coupling tensor decomposition[J]. Systems Engineering and Electronics, 2023, 45(4): 958-964.

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基于耦合张量分解的稀疏阵列二维DOA估计算法

DOA estimation algorithm with two-dimensional sparse array based on coupling tensor decomposition

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