互耦条件下MIMO雷达非圆目标稳健角度估计方法

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

通信学报 ›› 2019, Vol. 40 ›› Issue (7): 144-150.doi: 10.11959/j.issn.1000-436x.2019163

互耦条件下MIMO雷达非圆目标稳健角度估计方法

王咸鹏^1,²,国月皓^1,²(),黄梦醒^1,²,沈重^1,²,曹春杰^1,²,冯文龙^1,²

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

修回日期:2019-06-25 出版日期:2019-07-25 发布日期:2019-07-30
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。
基金资助:
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)

Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling

Xianpeng WANG^1,²,Yuehao GUO^1,²(),Mengxing HUANG^1,²,Chong SHEN^1,²,Chunjie CAO^1,²,Wenlong FENG^1,²

¹ State Key Laboratory of Marine Resource Utilization in South China Sea,Hainan University,Haikou 570228,China
² College of Information Science and Technology,Hainan University,Haikou 570228,China

Revised:2019-06-25 Online:2019-07-25 Published:2019-07-30
Supported by:
The Key R＆D Program of Hainan Province(ZDYF2019011);The National Natural Science Foundation of China(61701144);The Scientific Research Projects of University in Hainan Province(Hnky2018ZD-4);The Scientific Research Setup Fund of Hainan University(KYQD(ZR)1731)

摘要/Abstract

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。

关键词: 双基地MIMO雷达, 角度估计, 非圆信号, 互耦, 高阶奇异值分解

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.

Key words: bistatic multiple-input multiple-output radar, angle estimation, strictly noncircular signal, mutual coupling, higher-order singular value decomposition

中图分类号:

TN958

王咸鹏,国月皓,黄梦醒,沈重,曹春杰,冯文龙. 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,Chong SHEN,Chunjie CAO,Wenlong FENG. Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling[J]. Journal on Communications, 2019, 40(7): 144-150.

图/表 4

参考文献 23

[1]	FISHLER E , HAIMOVIC A H , BLUM R ,et al. MIMO radar:an idea whose time has come[C]// IEEE National Radar Conference. IEEE, 2004: 71-78.
[2]	KRIM H , VIBERG M . Two decades of array signal processing research:the parametric approach[J]. IEEE Signal Processing Magazine, 1996,13(4): 67-94.
[3]	FISHLER E , HAIMOVICH A , BLUM R ,et al. Performance of MIMO radar systems:advantages of angular diversity[C]// Conference on Signals,Systems ＆ Computers. IEEE, 2004: 305-309.
[4]	SHU F , QIN Y L , LIU T T ,et al. Low-complexity and high-resolution doa estimation for hybrid analog and digital massive MIMO receive array[J]. IEEE Transactions on Communications, 2018,66(6): 2487-2501.
[5]	陆锦辉, 万思明, 秦耀璐 ,等. 基于方向调制的无线安全传输基本原理、关键技术与未来展望[J]. 南京航空航天大学学报, 2018,50(3): 302-311.
	LU J H , WAN S M , QIN Y L . Basic principles ,key technologies ,and future prospects of wireless security transmission based on directional modulation[J]. Journal of Nanjing University of Aeronautics ＆ Astronautics, 2018,50(3): 302-311.
[6]	GAO X , WANG Z , XU D ,et al. On the MUSIC-derived approaches of angle estimation for bistatic MIMO radar[C]// International Conference on Wireless Networks ＆ Information Systems. IEEE, 2010: 343-346.
[7]	CHEN D F , CHEN B X , Q G D . Angle estimation using ESPRIT in MIMO radar[J]. Electronics Letters, 2008,44(12): 770-771.
[8]	WEN F , XIONG X , ZHANG Z . Angle and mutual coupling estimation in bistatic MIMO radar based on PARAFAC decomposition[J]. Digital Signal Processing, 2017,65: 1-10.
[9]	WANG J X , WANG X P , XU D J . Robust angle estimation for MIMO radar with the coexistence of mutual coupling and colored noise[J]. Sensors, 2018,18:832.
[10]	吴彪, 陈辉, 胡晓琴 . 基于Y型阵的互耦矩阵与DoA的同时估计方法[J]. 通信学报, 2010,31(6): 119-126.
	WU B , CHEN H , HU X Q . The simultaneous estimation method of the mutual coupling matrix and DoA based on Y matrix[J]. Journal on Communications, 2010,31(6): 119-126.
[11]	WANG X P , MENG D D , HUANG M X . Reweighted regularized sparse recovery for DoA estimation with unknown mutual coupling[J]. IEEE Communications Letters, 2019,23(2): 290-293.
[12]	LIU X L , LIAO G S . Direction finding and mutual coupling estimation for bistatic MIMO radar[J]. Signal Processing, 2012,92(2): 522-527.
[13]	ZHENG Z D , ZHANG J , ZHANG J Y . Joint DoD and DoA estimation of bistatic MIMO radar in the presence of unknown mutual coupling[J]. Signal Processing, 2012,92(12): 3039-3048.
[14]	CAO S H , XU D Y , XU X ,et al. DoA estimation for noncircular signals in the presence of mutual coupling[J]. Signal Processing, 2014,105: 12-16.
[15]	WANG X P , WANG W , LIU J ,et al. Tensor-based real-valued subspace approach for angle estimation in bistatic MIMO radar with unknown mutual coupling[J]. Signal Processing, 2015,116: 152-158.
[16]	WEN F Q , ZHANG Z J , WANG K ,et al. Angle estimation and mutual coupling self-calibration for ULA-based bistatic MIMO radar[J]. Signal Processing, 2018,144: 61-67.
[17]	LATHAUWER L D , MOOR B D , VANDEWALLE J . A MULTILINEAR Singular value decomposition[J]. Society for Industrial and Applied Mathematics, 2000,21(4): 1253-1278.
[18]	KOLDA T G , BADER B W . Tensor decompositions and applications[J]. SIAM Review, 2009,51(3): 455-500.
[19]	HAARDT M , ROEMER F , GALDO G D . Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems[J]. IEEE Transactions on Signal Processing, 2008,56(7): 3198-3213.
[20]	CHENG Y B , YU R S , GU H ,et al. Multi-SVD based subspace estimation to improve angle estimation accuracy in bistatic MIMO radar[J]. Signal Processing, 2013,93(7): 2003-2009.
[21]	HAARDT M , NOSSEK J A . Unitary ESPRIT:how to obtain increased estimation accuracy with a reduced computational burden[J]. IEEE Transactions on Signal Processing, 1995,43(5): 1232-1242.
[22]	ZOLTOWSKI M D , HAARDT M , MATHEWS C P . Closed-form 2-dangle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT[J]. IEEE Transactions on Signal Processing, 1996,42(2): 316-328.
[23]	GOLUB G H , VAN LOAN C F . Matrix computations[M]. Baltimore: Johns Hopkins University PressPress, 1996.

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

在线阅读

PDF下载

可视化

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 23

相关文章 15

Metrics

推荐阅读 0

[1]	孙贺麟, 高洪元, 杜亚男, 程建华, 刘亚鹏. 频控阵MIMO雷达的目标数与方位参数联合估计方法[J]. 通信学报, 2023, 44(2): 41-51.
[2]	王鼎, 高卫港, 吴志东. 基于稀疏贝叶斯的阵列幅相和互耦误差联合校正方法[J]. 通信学报, 2022, 43(9): 112-120.
[3]	王薇,张明,姚博彬,殷勤业,穆鹏程. 结合子空间旋转技术的非圆信号快速DOA估计[J]. 通信学报, 2020, 41(11): 198-205.
[4]	邵根富,姚颖莉,周杰,菊池久和. DUCA双环多天线MIMO系统性能分析与研究[J]. 通信学报, 2016, 37(12): 11-20.
[5]	李丽,邱天爽,贺明妍. 基于分数低阶类相关熵的双基地MIMO雷达目标参数联合估计新算法[J]. 通信学报, 2016, 37(12): 42-49.
[6]	李丽,邱天爽. 宽带双基地MIMO雷达的参数联合估计的新方法[J]. 通信学报, 2014, 35(6): 192-199.
[7]	李丽，邱天爽. 宽带双基地MIMO雷达的参数联合估计的新方法[J]. 通信学报, 2014, 35(6): 25-199.
[8]	尹洁昕，吴瑛，王鼎. 基于辅助阵元的非圆信号自校正算法及其性能分析[J]. 通信学报, 2014, 35(2): 20-165.
[9]	尹洁昕,吴瑛,王鼎. 基于辅助阵元的非圆信号自校正算法及其性能分析[J]. 通信学报, 2014, 35(2): 153-165.
[10]	周杰,陈靖峰,邱琳,菊池久和. 三维空间MIMO信道接收天线阵列互耦效应及系统容量分析[J]. 通信学报, 2012, 33(6): 1-10.
[11]	郑志东,张剑云,屈金佑,林秀清. 新的双基地MIMO雷达角度估计方法[J]. 通信学报, 2012, 33(12): 123-132.
[12]	李丽,邱天爽. 基于FRFT的双基地MIMO雷达多普勒频率和收发角联合估计新方法[J]. 通信学报, 2012, 33(11): 171-176.
[13]	王鼎,吴瑛. 未预期模型误差影响下秩减估计器的性能分析[J]. 通信学报, 2011, 32(8): 81-90.
[14]	李岳衡,赵静,居美艳,殷兴辉. 提高小尺寸间距四元MIMO系统信道容量与容量稳定性的新方法[J]. 通信学报, 2011, 32(6): 86-92.
[15]	吴彪,陈辉,胡晓琴. 基于Y型阵的互耦矩阵与DO A的同时估计方法[J]. 通信学报, 2010, 31(6): 119-126.