一种新的双基地MIMO雷达快速多目标定位算法

程院兵; 顾红; 苏卫民

doi:10.3724/SP.J.1146.2011.00555

一种新的双基地MIMO雷达快速多目标定位算法

doi: 10.3724/SP.J.1146.2011.00555

基金项目:

国家部委基金(9140A07010809BQ0205)和南京理工大学自主科研专项计划基金(2010ZDJH05)资助课题

计量
- 文章访问数: 3038
- HTML全文浏览量: 114
- PDF下载量: 846
- 被引次数: 0
出版历程
- 收稿日期: 2011-06-07
- 修回日期: 2011-09-05
- 刊出日期: 2012-02-19

A New Method for Fast Multi-target Localization in Bistatic MIMO Radar

摘要

摘要: 针对双基地MIMO雷达目标定位问题，该文提出一种基于三阶张量分解的快速多目标定位算法。该算法首先将匹配滤波输出转化为三阶张量，并对其进行降维预处理，然后利用交替最小二乘(ALS)算法估计收发阵列流型矩阵和多普勒矩阵，最后通过谱估计算法恢复目标收发角和多普勒频率。同时利用线性搜索加快ALS算法的收敛速度。与现有算法相比，该算法避免了2维谱峰搜索和协方差矩阵估计，得到的目标三参数自动配对，不仅提高了估计性能，而且有效降低了运算量和存储量。仿真结果证明了所提算法的有效性和优越性。
- 双基地MIMO雷达 /
- 收发角 /
- 多普勒频率 /
- 三阶张量分解
Abstract: To solve the problem of target localization in bistatic MIMO radar, a new method based on third-order tensor decomposition is proposed for fast multi-target localization. First, the matched filter output is transformed to a third-order tensor and its dimension is reduced. Then, the transmit and receive steering matrices and Doppler matrix are estimated through Alternate Least Square (ALS) method. Finally, the target Direction Of Departure (DOD), Direction Of Arrival (DOA) and Doppler frequency can be regressed by spectrum estimation algorithms. The Line Search (LS) scheme is used to speed up the convergence of ALS. Compared with the existing approaches, the proposed method avoids two-Dimensional (2-D) spectrum peak searching and covariance matrix estimating, and the target DOD, DOA and Doppler frequency are automatically paired. The estimation performance is improved; meanwhile, the computational cost and storage are effectively reduced. The effectiveness and superiority of the proposed method is demonstrated by simulation results.
- Bistatic MIMO radar /
- Direction Of Departure (DOD) and Direction Of Arrival (DOA) /
- Doppler frequency /
- Third-order tensor decomposition

HTML全文

参考文献(1)

Li J and Stoica P. MIMO Radar Signal Processing[M]. New York: Wiley Press, 2008: 65-121.[2] Haimovich A, Blum R, and Cimini L. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116-129.[3] Li J and Stoica P. MIMO radar with collocated antennas[J]. IEEE Signal Processing Magazine, 2007, 24(5): 106-114.[4] Yan H D, Li J, and Liao G S. Multitarget identification and localization using bistatic MIMO radar systems[J]. EURASIP Journal on Advances in Signal Processing, 2008, 8(2): 1-8.[5] Cheng D F, Cheng B X, and Qin G D. Angle estimation using ESPRIT in MIMO radar[J]. Electronics Letters, 2008, 44(12): 770-771.[6] Chen J L, Gu H, and Su W M. A new method for joint DOD and DOA estimation in bistatic MIMO radar[J]. Signal Processing, 2010, 90(2): 714-718.[7] 谢荣, 刘峥. 基于多项式求根的双基地MIMO雷达多目标定位方法[J]. 电子与信息学报, 2010, 32(9): 2197-2200.Xie Rong and Liu Zheng. Multi-target localization based on polynomial rooting for bistatic MIMO radar[J]. Journal of Electronics Information Technology, 2010, 32(9): 2197-2200.[8] 张剑云, 郑志东, 李小波. 双基地MIMO雷达收发角及多普勒频率的联合估计算法[J]. 电子与信息学报, 2010, 32(8): 1843-1848.Zhang Jian-yun, Zheng Zhi-dong, and Li Xiao-bo. An algorithm for DOD-DOA and Doppler frequency jointly estimation of bistatic MIMO radar[J]. Journal of Electronics Information Technology, 2010, 32(8): 1843-1848.[9] Liu S Z and Trenkler G. Hadamard, khatri-rao, kronecker and other matrix products[J]. International Journal of Information and Systems Sciences, 2008, 4(1): 160-177.[10] 丁鹭飞, 陈建春. 雷达原理[M]. 北京: 电子工业出版社, 2009: 149-151.[11] Anh H P and Andrzej C. PARAFAC algorithms for large-scale problem[J]. Neurocomputing, 2011, 74(11): 1970-1984.[12] Kolda T G and Bader B W. Tensor decomposition and application[J]. SIAM Review, 2009, 51(3): 455-500.[13] Bergqvist G and Larsson E G. The high-order singular value decomposition: theory and application[J]. IEEE Signal Processing Magazine, 2010, 27(3): 151-154.[14] Gene H G and Charles F V L. Matrix Computations[M]. Baltimore: Johns Hopkins University Press, 1996: 332-334.[15] Rasmus B. Multi-way analysis in the food industry: models, algorithms, and application[D]. [Ph.D. dissertation], University of Amsterdam, Amsterdam, the Netherlands, 1998.[16] 王永良, 陈辉, 彭应宁, 等. 空间谱估计理论与算法[M]. 北京: 清华大学出版社, 2004: 132-138.

施引文献

资源附件(0)

访问统计