时空非均匀采样下双基地MIMO雷达收发角及多普勒频率联合估计方法

郑志东; 方飞; 袁红刚; 于彦明; 陶欢

doi:10.11999/JEIT141523

时空非均匀采样下双基地MIMO雷达收发角及多普勒频率联合估计方法

doi: 10.11999/JEIT141523

1.
(北方电子设备研究所北京 100191) ②(内江师范学院工程技术学院内江 641110)

基金项目:

四川省教育厅项目(13ZA0005)

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出版历程
- 收稿日期: 2014-12-02
- 修回日期: 2015-05-19
- 刊出日期: 2015-09-19

Joint DOD-DOA and Doppler Frequency Estimation for Bistatic MIMO Radar under Condition of Temporal-spatial Nonuniform Sampling

1.
(Institute of North Electronic Equipment, Beijing 100191, China)
2.
(Engineering and Technology College, Neijiang Normal University, Neijiang 641110, China)

摘要

摘要: 该文针对发射阵列、接收阵列以及多级延迟器均为非均匀配置的双基地MIMO雷达，提出基于时域和空域二次自由度扩展的发射角、接收角以及多普勒频率估计的ESPRIT (Estimating Signal Via Rotational Invariance Techniques)新方法。该方法利用双基地MIMO雷达特殊的方向矢量特点(矩阵的Khatri-Rao积形式)，对接收信号进行两次行置换以及去冗余处理，实现了时域和空域孔径自由度的二次扩展。然后对新数据进行时空滑窗处理，利用ESPRIT算法分别估计出目标的收发角以及多普勒频率。理论和仿真结果表明：在相同阵元和延迟级数情况下，所提算法的估计性能优于四线性分解和多维ESPRIT算法，且能估计出更多的目标，此外，通过最小冗余配置，极大地降低了阵列和延迟器的配置需求，更利于实际工程应用。
- 双基地MIMO雷达 /
- 时空非均匀结构 /
- 最小冗余阵列 /
- 二次自由度扩展 /
- 联合估计
Abstract: A new ESPRIT (Estimating Signal Via Rotational Invariance Techniques) algorithm is proposed to estimate the joint DOD (Direction Of Departure), DOA (Direction Of Arrival) and Doppler frequency based on the second extension of degree of freedom in the time and space domain under the conditions of non-uniform configurations of transmitter-receiver arrays and multiple delays for bistatic MIMO radar. Firstly, based on the special characteristic of direction vector in MIMO radar, the second extension of degree of freedom both in the time and space domains is attained by performing the twice row permutations on the received data and deleting the redundant items operations. Then, the ESPRIT algorithm is utilized to estimate the DOD, DOA, and Doppler frequency after performing the temporal-spatial smoothing window processing to the new data. The simulation shows that when the same number of real elements is used in time and space domain, the parameter estimation performance of the proposed algorithm is better than those of the quadrilinear decomposition and multi-dimension ESPRIT algorithms. Moreover, by using of the minimum redundancy configuration, the redundant information in the arrays decreases and hence the requirements of the array elements and the delay device are reduced, so it is more convenient to the practical application.
- Bistatic MIMO radar /
- Non-uniform temporal-spatial structure /
- Minimum redundancy arrays /
- Second extension of degree of freedom /
- Joint estimation

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参考文献(22)

Dionysios S K and Athina P P. Matrix completion in collocated MIMO radar: recoverability, bounds theoretical guarantees[J]. IEEE Transactions on Signal Processing, 2014, 62(2): 309-321.

唐波, 张玉, 李科, 等. 杂波中MIMO雷达恒模波形及接收机联合优化算法研究[J]. 电子学报, 2014, 42(9): 1705-1711.

Tang Bo, Zhang Yu, Li Ke, et al.. Joint constant-envelope waveform and receiver design for MIMO radar in the presence of clutter [J]. Acta Electronica Sinica, 2014, 42(9): 1705-1711.

Haimovich A M, Blum R S, Lenard J, et al.. MIMO radar with widely separated antennas[J]. IEEE Signal Processing Magazine, 2008, 25(1): 116-129.

Chen Duo-fang, Chen Bai-xiao, and Qin Guo-dong. Angle estimation using ESPRIT in MIMO radar[J]. Electronics Letters, 2008, 44(12): 770-771.

孙中伟, 张小飞, 吴海浪, 等. L型阵列双基地MIMO雷达的传播算子多维角度估计[J]. 应用科学学报, 2014, 32(4): 57-64.

Sun Zhong-wei, Zhang Xiao-fei, Wu Hai-lang, et al.. Multi-dimensional angle estimation in bistatic MIMO radar for L-shaped array with propagator method[J]. Journal of Applied Sciences, 2014, 32(4): 57-64.

Chen Chen, Zhang Xiao-fei, and Ben De. Coherent angle estimation in bistatic multi-input multi-output radar using parallel profile with linear dependencies decomposition[J]. IET Radar, Sonar Navigation, 2013, 7(8): 867-874.

孙理, 朱晓华, 贺亚鹏, 等. 双基地稀疏阵列MIMO雷达快速多目标定位方法[J]. 电子与信息学报, 2013, 35(5): 1142-1148.

Sun Li, Zhu Xiao-hua, He Ya-peng, et al.. Fast multi-target localization with sparse array in bistatic MIMO radar[J]. Journal of Electronics Information Technology, 2013, 35(5): 1142-1148.

李小波, 梁浩, 崔琛. 基于四元数和增广矩阵束的MIMO雷达角度估计算法[J]. 数据采集与处理, 2014, 29(4): 579-583.

Li Xiao-bo, Liang Hao, and Cui Chen. Angle estimation in bistatic MIMO radar based on quaternion and MEMP[J]. Journal of Data Acquisition and Processing, 2014, 29(4): 579-583.

郑志东, 张剑云, 杨瑛. 基于发射波束域-平行因子分析的MIMO雷达收发角度估计[J]. 电子与信息学报, 2011, 33(12): 2875-2880.

Zheng Zhi-dong, Zhang Jian-yun, and Yang Ying. Joint DOD-DOA estimation of MIMO radar based on transmit beamspace-PARAFAC[J]. Journal of Electronics Information Technology, 2011, 33(12): 2875-2880.

Cao Y H. Joint estimation of angle and Doppler frequency for bistatic MIMO radar[J]. Electronics Letters, 2010, 46(2): 170-172.

刘帅, 张弓, 刘文波. 基于时空结构的双基地MIMO雷达多维参数联合估计[J]. 航空学报, 2010, 31(6): 1196-1203.

Liu Shuai, Zhang Gong, and Liu Wen-bo. Multi-dimensional parameter joint estimation of bistatic MIMO radars based on temporal-spatial structure[J]. Acta Aeronautica et Astronautica Sinica, 2010, 31(6): 1196-1203.

李建峰, 张小飞. 基于四线性分解的双基地MIMO雷达的角度和多普勒频率联合估计[J]. 航空学报, 2012, 33(8): 1474-1482.

Li Jian-feng and Zhang Xiao-fei. Joint estimation of angle and Doppler frequency in bistatic MIMO radar based on quadrilinear decomposition[J]. Acta Aeronautica et Astronautica Sinica, 2012, 33(8): 1474-1482.

Pal P and Vaidynanthan P P. Nested arrays: a novel approach to array processing with enhanced degrees of freedom[J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4176-4181.

Moffer A T. Minimum-redundancy linear arrays[J]. IEEE Transactions on Antennas and Propagation, 1968, 16(2): 172-175.

Liu J and Liu X Q. An eigenvector-based approach for multidimensional frequency estimation with improved identifiability[J]. IEEE Transactions on Signal Processing, 2013, 54(12): 4543-4556.

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