Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT

doi:10.1007/s12204-018-1935-8

sa ›› 2018, Vol. 23 ›› Issue (2): 256-263.doi: 10.1007/s12204-018-1935-8

Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT

XU Liqin (徐丽琴), LI Yong (李勇)

(School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China)

出版日期:2018-04-01 发布日期:2018-06-19
通讯作者: LI Yong (李勇) E-mail:ruikel@nwpu.edu.cn

Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT

XU Liqin (徐丽琴), LI Yong (李勇)

(School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China)

Online:2018-04-01 Published:2018-06-19
Contact: LI Yong (李勇) E-mail:ruikel@nwpu.edu.cn

摘要/Abstract

摘要： A low-complexity angle estimation method for multiple-input multiple-output (MIMO) radar using beamspace unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) is presented. Reduced-dimensional transformation is firstly utilized as a pre-processing to obtain the reduced-dimensional data matrix, and then a conjugate centrosymmetric discrete Fourier transform (DFT) matrix is employed to map the received data into lower-dimensional beamspace and transforms the complex covariance matrix into a realvalued one. At last, the rotational invariance structure of the real-valued signal subspace is constructed in the beamspace to obtain the estimation of direction of arrival (DOA). Compared with the other ESPRIT algorithms, the proposed method can achieve improved estimation performance with a significantly reduced computational complexity. Simulation results are presented to demonstrate the effectiveness of the proposed method.

关键词: multiple-input multiple-output (MIMO) radar, direction of arrival (DOA) estimation, estimation of signal parameters via rotational invariance techniques (ESPRIT), beamspace

Abstract: A low-complexity angle estimation method for multiple-input multiple-output (MIMO) radar using beamspace unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) is presented. Reduced-dimensional transformation is firstly utilized as a pre-processing to obtain the reduced-dimensional data matrix, and then a conjugate centrosymmetric discrete Fourier transform (DFT) matrix is employed to map the received data into lower-dimensional beamspace and transforms the complex covariance matrix into a realvalued one. At last, the rotational invariance structure of the real-valued signal subspace is constructed in the beamspace to obtain the estimation of direction of arrival (DOA). Compared with the other ESPRIT algorithms, the proposed method can achieve improved estimation performance with a significantly reduced computational complexity. Simulation results are presented to demonstrate the effectiveness of the proposed method.

Key words: multiple-input multiple-output (MIMO) radar, direction of arrival (DOA) estimation, estimation of signal parameters via rotational invariance techniques (ESPRIT), beamspace

中图分类号:

TN 958

XU Liqin (徐丽琴), LI Yong (李勇). Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT[J]. sa, 2018, 23(2): 256-263.

XU Liqin (徐丽琴), LI Yong (李勇). Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT[J]. Journal of Shanghai Jiao Tong University (Science), 2018, 23(2): 256-263.

参考文献 20

[1]	FISHLER E, HAIMOVICH A, BLUM R, et al. MIMOradar: an idea whose time has come [C]//Proceedingsof the 2004 IEEE Radar Conference. Philadelphia:IEEE, 2004: 71-78.
[2]	BEKKERMAN I, TABRIKIAN J. Target detectionand locaization using MIMO radars and sonars [J].IEEE Transactions on Signal Processing, 2006, 54(10):3873-3883.
[3]	FISHLER E, HAIMOVICH A, BLUM R S, et al. Spatialdiversity in radars—models and detection performance[J]. IEEE Transactions on Signal Processing,2006, 54(3): 823-838.
[4]	ZHANG X, HUANG Y P, CHEN C, et al. ReducedcomplexityCapon for direction of arrival estimation ina monostatic multiple-input multiple-output radar [J].Radar, Sonar & Navigation, 2012, 6(8): 796-801.
[5]	WANG X, WANG W, XU D. Low-complexityESPRIT-Root-MUSIC algorithm for non-circularsource in bistatic MIMO radar [J]. Circuits, Systems,and Signal Processing, 2015, 34(4): 1265-1278.
[6]	ZHENG G, CHEN B. Unitary dual-resolution ESPRITfor joint DOD and DOA estimation in bistatic MIMOradar [J]. Multidimensional Systems and Signal Processing,2015, 26: 159-178.
[7]	YANG X, ZHENG G, TANG J. ESPRIT algorithmfor coexistence of circular and noncircular signalsin bistatic MIMO radar [C]//Radar Conference.Philadelphia: IEEE, 2016: 1-4.
[8]	ZHANG Y, ZHANG G, WANG X. Computationallyefficient DOA estimation for monostatic MIMO radarbased on covariance matrix reconstruction [J]. ElectronicsLetters, 2017, 53(2): 111-113.
[9]	CHEN D F, CHEN B X, QIN G D. Angle estimationusing ESPRIT in MIMO radar [J]. Electronics Letters,2008, 44(12): 770-771.
[10]	ZHENG G, CHEN B, YANG M. Unitary ESPRIT algorithmfor bistatic MIMO radar [J]. Electronics Letters,2012, 48(3): 179-181.
[11]	ZHANG X, XU D. Low-complexity ESPRIT-basedDOA estimation for colocated MIMO radar usingreduced-dimension transformation [J]. Electronics Letters,2011, 47(4): 283-284.
[12]	WANG W, WANG X, SONG H, et al. Conjugate ESPRITfor DOA estimation in monostatic MIMO radar[J]. Signal Processing, 2013, 93(7): 2070-2075.
[13]	GONG J, LOU S, GUO Y. ESPRIT-like algorithmfor computational-efficient angle estimation in bistaticmultiple-input multiple-output radar [J]. Journal ofApplied Remote Sensing, 2016, 10(2): 025003.
[14]	DANG X F, CHEN B X, YANG M L, et al. Beamspaceunitary ESPRIT algorithm for angle estimation inbistatic MIMO radar [J]. International Journal of Antennasand Propagation, 2015: 1-9.
[15]	XU L, LI J, STOICA P. Adaptive techniques forMIMO radar [C]//Fourth IEEE Workshop on SensorArray and Multichannel Processing. Waltham: IEEE,2006: 258-262.
[16]	ZOLTOWSKI M D, HAARDT M, MATHEWS C P.Closed-form 2-D angle estimation with rectangular arraysin element space or beamspace via unitary ESPRIT[J]. IEEE Transactions on Signal Processing,1996, 44(2): 316-328.
[17]	REN S, MA X, YAN S, et al. 2-D unitary ESPRITlikedirection-of-arrival (DOA) estimation for coherentsignals with a uniform rectangular array [J]. Sensors,2013, 13(4): 4272-4288.
[18]	STOICA P, NEHORAI A. Performance study of conditionaland unconditional direction-of-arrival estimation[J]. IEEE Transactions on Acoustics, Speech, andSignal Processing, 1990, 38(10): 1783-1795.
[19]	XU G, SILVERSTEIN S D, ROY R H, et al.Beamspace ESPRIT [J]. IEEE Transactions on SignalProcessing, 1994, 42(2): 349-356.
[20]	HASSANIEN A, AMIN M G, ZHANG Y D, etal. High-resolution single-snapshot DOA estimationin MIMO radar with colocated antennas [C]//RadarConference. Crystal Gateway Marriott Arlington:IEEE, 2015: 1134-1138.

Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT

Angle Estimation in Monostatic MIMO Radar with Low-Complexity Beamspace Unitary ESPRIT

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 0

编辑推荐

Metrics

本文评价