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

Xianpeng WANG; Yuehao GUO; Mengxing HUANG; Chong SHEN; Chunjie CAO; Wenlong FENG

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

您当前的位置：

首页 >

文章列表页 >

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

Papers | 更新时间：2024-06-05

- Robust angle estimation method for noncircular targets in MIMO radar with mutual coupling
- Journal on Communications Vol. 40, Issue 7, Pages: 144-150(2019)
- 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：
- 基金信息：
  
  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)
- DOI：10.11959/j.issn.1000-436x.2019163
  CLC： TN958
- Online First：2019-07，
  
  Published：25 July 2019
- 稿件说明：
移动端阅览
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：

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.

关键词

Keywords

references

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 .

KRIM H , VIBERG M . Two decades of array signal processing research:the parametric approach [J ] . IEEE Signal Processing Magazine , 1996 , 13 ( 4 ): 67 - 94 .

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 .

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 .

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 .

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 .

CHEN D F , CHEN B X , Q G D . Angle estimation using ESPRIT in MIMO radar [J ] . Electronics Letters , 2008 , 44 ( 12 ): 770 - 771 .

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 .

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.

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 .

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 .

LIU X L , LIAO G S . Direction finding and mutual coupling estimation for bistatic MIMO radar [J ] . Signal Processing , 2012 , 92 ( 2 ): 522 - 527 .

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 .

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 .

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 .

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 .

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 .

KOLDA T G , BADER B W . Tensor decompositions and applications [J ] . SIAM Review , 2009 , 51 ( 3 ): 455 - 500 .

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 .

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 .

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 .

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 .

GOLUB G H , VAN LOAN C F . Matrix computations [M ] . Baltimore : Johns Hopkins University PressPress , 1996 .

Views

1476

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Joint estimation method of target number and orientation parameters for FDA-MIMO radar

Novel method for angle estimating of bistatic MIMO radar

Performance analysis of rank reduction estimator in the presence of unexpected modeling errors

Related Author

Helin SUN

Hongyuan GAO

Yanan DU

Jianhua CHENG

Yapeng LIU

Zhi-dong ZHENG

Jian-yun ZHANG

Jin-you QU

Related Institution

College of Information and Communication Engineering, Harbin Engineering University

College of Intelligent Systems Science and Engineering, Harbin Engineering University

Electronic Engineering Institute

Unit 91635 of PLA

Institute of Information Engineering,PLA Information Engineering University

AI问答

⁰