Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (5): 262-265.doi: 10.11896/jsjkx.210300162

• Computer Network • Previous Articles     Next Articles

Angle Estimation of Coherent MIMO Radar Under the Condition of Non-uniform Noise

TANG Chao-chen1,3, QIU Hong-bing2, LIU Xin3, TANG Qing-hua3   

  1. 1 School of Telecommunications Engineering, Xidian University, Xi’an 710071, China
    2 School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
    3 School of Information and Communication,Guilin University of Technology,Guilin,Guangxi 541006, China
  • Received:2021-03-15 Revised:2022-01-28 Online:2022-05-15 Published:2022-05-06
  • About author:TANG Chao-chen,born in 1981,lec-turer,Ph.D candidate.His main research interests include targets detection and parameter estimation techniques.
  • Supported by:
    National Natural Science Foundation of China(61371107,61961010), Ministry of Education Key Laboratory of Cognitive Radio and Information Processing(CKRL200204) and Project of Improving the Basic Scientific Research Ability of Guangxi Young Teachers(2019KY1061).

PDF (PC)

511

Abstract: For the problem of angle estimation,the noise in the receiver is usually assumed to be uniform for a multiple input multiple output (MIMO) radar.A non-uniform noise assumption is more realistic. However,The non-uniform noise will result in an unknown noise covariance matrix.If the traditional subspace-based angle estimation methods such as two dimensional multiple signal classification (2D-MUSIC) algorithm is applied directly,the estimation performance will be declined or failed.Therefore,designing new algorithms to estimate the noise covariance matrix and obtain the noise subspace is necessary.Compared with the iterative-based angle estimation algorithms,the non-iterative subspace-based(NIS-based) algorithms can reduce the computational complexity and do not carry out iterative calculation.For this reason,firstly,a one dimensional(1D) NIS-based algorithm under the condition of non-uniform noise is analyzed.Secondly,we extend it to 2D NIS-based angle estimation for the MIMO radar and provide theoretical analysis to verify the feasibility of such an extension.The final simulation results show that the proposed algorithm can obtain the joint direction of departure(DOD) and the direction of arrivals (DOA) of targets and has a good performance in angular accuracy.

Key words: Angle estimation, MIMO radar, Noise covariance matrix, Noise subspace, Non-iterative algorithm, Non-uniform noise

CLC Number: 

  • TN953+.5
[1]LI J,STOICA P.MIMO radar with colocated antennas[J].IEEE Signal Processing Magazine,2007,24(5):106-114.
[2]TANG B,TANG J,ZHANG Y,et al.Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar[J].Signal Processing,2013,93(5):1349-1357.
[3]KAZEMI A,AMIRI R,BEHNIA F.An Approximate ML Estimator for Moving Target Localization in Distributed MIMO Radars[J].IEEE Signal Processing Letters,2020,7:1595-1599.
[4]LIN Y,LEE T.max-MUSIC: A Low-complexity High-resolution Direction-Finding Method for Sparse MIMO Radars[J].IEEE Sensors Journal,2020,20(24):14914-14923.
[5]ZHANG Q,ZHENG G M,LI X C,et al.Joint DOD and DOA estimation for bistatic MIMO radar with arbitrary array using semi-real-valued MUSIC[J].Systems Engineering and Electroni-cs,2016,38(3):532-538.
[6]WANG Y F,ZHANG L X,SONG Z X.Angle Estimation ofWeak Scatterers Using Improved MUSIC for Bistatic MIMO Radar[J].IEEE Signal Processing Letters,2020,27:2164-2167.
[7]ZHAO Y,QIN S,SHI Y R,et al.Direction of Arrival Estimation by Matching Pursuit Algorithm with Subspace Information[J].IEEE Access,2021,9:16937-16946.
[8]LI J,JIANG D,ZHANG X.DOA Estimation Based on Combined Unitary ESPRIT for Coprime MIMO Radar[J].IEEE Communications Letters,2017,21(1):96-99.
[9]SHU T,LI L,HE J.Near-Field Localization for Non-circular Sources in the Presence of Sensor Phase Uncertainties[J].IEEE Wireless Communications Letters,2021,10(3):562-566.
[10]CHEN J L,ZHENG Y,LI J Q,et al.MIMO Radar DOA Estimation for Multiple Snapshots Based on Iterative Proximal Projection[J].Radar Science and Technology,2020,18(1):56-62.
[11]ZHAO X,GUO C J,PENG W C. Fast 3D Parameters Estimation of Targets in Bistatic MIMO Radar Based on Sparse Signal Reconstruction[J].IEEE Access,2018,6: 46206-46212.
[12]GONG L S.Research on angle estimation of MIMO radar for Non-ideal Conditions[D].Harbin:Harbin Engineering Univer-sity,2019.
[13]WU C X,ZHANG M,WANG K R.Under determined direction of arrival estimation with nonuniform noise[J].Systems Engineering and Electronics,2018,40(3): 498-503.
[14]WANG H Y,FANG Y F,ZHU S Q.DOA estimation method considering mutual coupling effect in presence of non-uniform noise[J].Journal of Jilin University (Engineering and Technology Edition),2019,49(5): 1706-1714.
[15]ESFANDIARI M,VOROBYOV S A,ALIBANI S,et al.Non-Iterative Subspace-Based DOA Estimation in the Presence of Nonuniform Noise[J].IEEE Signal Processing Letters,2019,26(6):848-852.
[16]CHEN C E,LORENZELLI F,HUDSON R E,et al.Stochastic Maximum-Likelihood DOA Estimation in the Presence of Unknown Nonuniform Noise[J].IEEE Transactions on Signal Processing,2008,56(7):3038-3044.
[17]PESAVENTO M,GERSHMAN A B.Maximum-likelihood di-rection-of-arrival estimation in the presence of unknown nonuniform noise[J].IEEE Transactions on Signal Processing,2001,49(7):1310-1324.
No related articles found!
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
渝ICP备16013121号-4
Add:18# Honghu West Rd., Yubei ,Chongqing,China    Post Code: 401121
Tel: 023-63500828/023-67039612/023-67039623
E-mail: jsjkx12@163.com
Powered by Beijing Magtech Co., Ltd.