基于四元数的Root-MUSIC的双基地MIMO雷达中角度估计算法

李建峰; 张小飞; 汪飞

doi:10.3724/SP.J.1146.2011.00612

基于四元数的Root-MUSIC的双基地MIMO雷达中角度估计算法

doi: 10.3724/SP.J.1146.2011.00612

李建峰^{* 张小飞汪飞,},
张小飞,
汪飞

基金项目:

国家自然科学基金(60801052)，航空科学基金(2009ZC52036)，南京航空航天大学科研基金(NS2010114)和南京航空航天大学研究生创新基地(实验室)开放基金资助课题

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出版历程
- 收稿日期: 2011-06-26
- 修回日期: 2011-10-11
- 刊出日期: 2012-02-19

Quaternion Root-MUSIC Algorithm for Angle Estimation in Bistatic MIMO Radar

Li Jian-Feng^{* 张小飞汪飞
,},
Zhang Xiao-Fei,
Wang Fei

摘要

摘要: 该文将四元数理论应用到双基地集中式多输入多输出(MIMO)雷达的角度估计中。文中通过传统数据模型构造四元数矩阵，提出了基于四元数的求根-多重信号分类(Root MUltiple SIgnal Classification, Root-MUSIC)的MIMO雷达中角度估计算法，该算法通过奇异值分解和Root-MUSIC来估计出发射角(Direction Of Departure, DOD)和接收角(Direction Of Arrival, DOA)。该算法的角度估计性能远优于现有文献的方法，并且无需谱峰搜索，复杂度大大降低。仿真结果验证了算法的有效性。
- MIMO 雷达 /
- 四元数 /
- 求根MUSIC /
- 奇异值分解
Abstract: This paper employs quaternion theory to angle estimation of collocated bistatic MIMO radar. Quaternion model is constructed from the general data model, and the quaternion Root MUltiple SIgnal Classification (Root-MUSIC) algorithm is proposed for angle estimation in bistatic MIMO radar. This algorithm estimates Direction Of Departure (DOD) and Direction Of Arrival (DOA) via Singular Value Decomposition (SVD) and Root-MUSIC. The angle estimate performance of this algorithm is better than the existing algorithm, and the complexity of the proposed algorithm is reduced very much. The simulation results verify?the effectiveness?of the algorithm.
- MIMO radar /
- Quaternion /
- Root-MUSIC /
- Singular Value Decomposition (SVD)

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参考文献(1)

Fishler E, Haimovich A, Blum R S, et al.. MIMO radar: an idea whose time has come[C]. Proceeding of the IEEE Radar Conference, Philadelphia, PA, Apr. 2004: 71-78.[2] Li J and Stoica P. MIMO radardiversity means superiority[C]. Proc. 14th Adaptive Sensor Array Processing, Workshop (ASAP 06), Lincoln Lab, Mass, USA, Dec. 2006: 1-6,[3] Li X, Zhang Z, et al.. A study of frequency diversity MIMO radar beamforming[C]. IEEE 10th International Conference (ICSP2010), Beijing, China, 2010: 352-356.[4] Sharma R. Analysis of MIMO radar ambiguity functions and implications on clear region[C]. IEEE International Radar Conference, Washington DC, USA, May 2010: 544-548.[5] Li J, Liao G, and Griffiths H. Bistatic MIMO radar space- time adaptive processing[C]. 2011 IEEE International Radar Conference, Westin Crown Center in Kansas City, Missouri, May 2011: 498-502.[6] Wu X H, Kishk A A, and Glisson A W. MIMO-OFDM radar for direction estimation[J]. IET Radar, Sonar Navigation, 2010, 4(1): 28-36.[7] Yan H, Li J, and Liao G. Multitarget identification and localization using bistatic MIMO radar systems[J]. EURASIP Journal on Advances in Signal Processing, 2008, Article ID: 283483, 1-8.[8] Li J, Stoica P, Xu L, et al.. On parameter identifiability of MIMO radar[J]. IEEE Signal Processing Letters, 2007, 14(12): 968-971. [9] Li J, Liao G, Ma K, and Zeng C.Waveform decorrelation for multitarget localization in bistatic MIMO radar systems[C]. 2010 IEEE International Radar Conference,Washington, May 2010: 21-24.[10] Xu L, Li J, and Stoica P. Target detection and parameter estimation for MIMO radar systems[J]. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 927-939.[11] Chen J L, Gu H, and Su W M. Angle estimation using ESPRIT without pairing in MIMO radar[J]. Electronics Letters, 2008, 44(24): 1422-1423.[12] Zhang X F and Xu D Z. Angle Estimation in MIMO radar using Reduced-dimension Capon[J]. Electronics Letters, 2010, 46(12): 860-861. [13] Zhang X F and Xu D Z. Direction of Departure (DOD) and Direction of Arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC[J]. IEEE Communications Letters, 2010, 14(12): 1161-1163.[14] Bencheikh M L, Wang Y, and He H. Polynomial root finding technique for joint DOA DOD estimation in bistatic MIMO radar[J]. Signal Processing, 2010, 90(9): 2723-2730.[15] Miron S, Bihan N L, and Mars J. Quaternion-music for vector-sensor array processing[J]. IEEE Transactions on Signal Processing, 2006, 54(4): 1218-1229.[16] Miron S, Bihan N L, and Mars J. High resolution vector- sensor array processing based on biquaternions[C]. IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), Toulousem, France, 2006, 5: 248-251.[17] Bihan N L and Mars J. Subspace method for vector-sensor wave separation based on quaternion algebra[C]. XI European Signal Processing Conference (EUSIPCO), Toulouse, France, 2002, 9: 119-123.[18] Wang F, Wang S X, and Wu Y G. 2-D DOA estimation in the presence of Gaussian noise with quaternion[C]. Ellison, IEEE 2005 International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, MAPE, Beijing, China, IEEE Press, 2005: 8-12.[19] 汪飞, 王树勋, 陈巧霞. 基于Hamilton四元数矩阵奇异值分解的二维谐波频率参量估计[J]. 电子学报, 2007, 35(12): 2441-2445.Wang Fei, Wang Shu-xun, and Chen Qiao-xia. Parameter estimation of two-dimensional harmonic frequency based on the singular value decomposition of Hamilton quaternion matrix[J]. Acta Electronica Sinica, 2007, 35(12): 2441-2445.[20] Stoica P and Nehorai A. Performance study of conditional and unconditional direction-of-arrival estimation[J]. IEEE Transactions on Signal Processing, 1990, 38(10): 1783-1795.

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