稀疏阵列MIMO雷达高精度收发角度联合估计

doi:10.3969/j.issn.0255-8297.2015.05.007

应用科学学报 ›› 2015, Vol. 33 ›› Issue (5): 527-540.doi: 10.3969/j.issn.0255-8297.2015.05.007

稀疏阵列MIMO雷达高精度收发角度联合估计

崔琛, 梁浩, 余剑

电子工程学院 401室, 合肥 230037

收稿日期:2015-04-16 修回日期:2015-06-02 出版日期:2015-09-30 发布日期:2015-09-30
作者简介:崔琛,教授,博导,研究方向:陈列信号处理以及MIMO雷达信号处理,E-mail:kycuichen@163.com;梁浩,博士生,研究方向:阵列信号处理以及MIMO雷达信号处理,E-mail:lhmailhappy@163.com
基金资助:
国家自然科学基金(No.60702015);电子工程学院院控科研基金(No.KY13A206)资助

Joint DOD and DOA Estimation with High Accuracy in Bistatic MIMO Radar Using Sparse Array

CUI Chen, LIANG Hao, YU Jian

401 Laboratory, Electronic Engineering Institute, Hefei 230037, China

Received:2015-04-16 Revised:2015-06-02 Online:2015-09-30 Published:2015-09-30

摘要/Abstract

摘要： 提出一种基于孔径扩展的稀疏阵列MIMO雷达高精度收发角度估计算法. 采用收、发阵列均为稀疏线性分布式子阵的双基地MIMO雷达系统,通过非均匀阵列设计,利用Khatri-Rao乘积运算实现收发阵列中阵元间短基线和子阵间长基线的同时虚拟扩展. 对接收数据进行降冗余和数据平滑处理,利用双尺度酉ESPRIT算法解周期性模糊,得到无模糊的高精度收发角度估计. 与传统算法相比,所提出的算法在不增加天线数目和硬件复杂度的情况下可有效扩展MIMO雷达的阵列孔径,在实现多目标收发角度联合估计的同时获得更高的参数估计性能. 仿真结果验证了阵列虚拟扩展和算法方位估计的有效性.

关键词: MIMO雷达, 稀疏阵列, 高精度无模糊估计, 双尺度酉ESPRIT

Abstract: Based on extended aperture of bistatic MIMO radar using asparse array, a joint high accurate method for estimating direction of arrival (DOA) and direction of departure (DOD) is proposed. A bistatic MIMO radar with sparse linear distributed subarrays and dual baselines for both transmission and receiving is used. By designing a nonuniform linear array and using Khatri-Rao product processing, the long baseline of inter-subarray spacing and short baseline of inter-sensor spacing in the transmission/receiving arrays are virtually extended simultaneously. With the redundancy removal and spatial smoothing for the received data, high accuracy estimation of DOA and DOD are accomplished using a dual-size unitary ESPRIT algorithm for angular ambiguities resolution. Compared with conventional algorithms, the proposed method can achieve virtual extension of aperture for the MIMO radar without increasing the number of sensors and computational complexity while achieving effective estimation for transmitting and receiving angle with better performance. Simulation results show effectiveness of the proposed method.

Key words: MIMO radar, sparse array, high accuracy unambiguous estimation, dual-size unitary ESPRIT

中图分类号:

TN918

崔琛, 梁浩, 余剑. 稀疏阵列MIMO雷达高精度收发角度联合估计[J]. 应用科学学报, 2015, 33(5): 527-540.

CUI Chen, LIANG Hao, YU Jian. Joint DOD and DOA Estimation with High Accuracy in Bistatic MIMO Radar Using Sparse Array[J]. Journal of Applied Sciences, 2015, 33(5): 527-540.

参考文献

[1] Wang P, Li H B, Himed B. A parametric moving target detector for distributed MIMO radar in non-homogeneous environment [J]. IEEE Transactions on Signal Processing, 2013, 61(9): 2282-2294.

[2] Kai L, Manikas A. Superresolution multitarget parameter estimation in MIMO radar [J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3683-3693.

[3] Gong P C, Shao Z H, Tu G P. Transmit beampattern design based on convex optimization for MIMO radar systems [J]. Signal Processing, 2014, 94(3): 195-201.

[4] Li L. Cramer-Rao bound for parameter estimation in narrowband bistatic MIMO radar [J]. Applied Mechanics and Materials, 2014, 56(2): 5034-5037.

[5] He Q, He Z S, Li H Y. Multibeam amplitude comparison problems for MIMO radar's angle measurement [C]//Asilomar Conference on Signal, Systems and Computers, 2007: 2163-2167.

[6] Zhang J J, Liu H M, Li J. Research on the Mono-pulse phase comparison angle measurement algorithm of MIMO radar [C]//International Work-shop on Microwave and Millimeter Wave Circuits and System Technology (MMWCST), 2011: 1-4.

[7] Tang B, Tang J, Zhang Y. Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar [J]. Signal Processing, 2013, 93(5): 1349-1357.

[8] Zhang X, Xu L, Xu D. Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduce-dimensional MUSIC [J]. IEEE Communications Letters, 2010, 14(12): 1161-1163.

[9] Chen J L, Gu H, Su W M. Angle estimation using ESPRIT without pairing in MIMO radar[J]. Electronics Letters, 2008, 44(24): 1422-1423.

[10] Chen C Y, Vaidyanathan P P. Mininum redundancy MIMO radars [C]//IEEE International Symposium on Circuits and Systems (ISCAS), 2008: 45-48.

[11] Pal P Y, Vaidyanathan P P. Nested arrays: a novel approach to array processing with enhanced degrees of freedom [J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4167-4181

[12] Yao B B, Wang W J, Yin Q Y. DOD and DOA estimation in bistatic non-uniform multipleinput multiple-output radar systems [J]. IEEE Communications Letters, 2012, 16(11): 1796-1799.

[13] Zhang C Z, Pang Y C. Sparse array angle estimation using reduced-dimension ESPRIT-MUSIC in MIMO radar [J]. The Scientific World Journal, 2013.

[14] Zheng G M, Chen B X. Unitary dual-resolution ESPRIT for joint DOD and DOA estimation in bistatic MIMO radar [J]. Multidim Syst Sign Process, 2013, 26(1): 159-178.

[15] Wong K T, Zoltowski M D. Direction-finding with sparse rectangular dual-size spatial invariance array [J]. IEEE Transactions on Aerospace and Electronic System, 1998, 34(4): 1320-1335.

[16] Pal P, Vaidyanathan P P. Coprime sampling and the music algorithm [C]//Proceedings of the Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE), California, USA, 2011: 289-294.

[17] Liu J, Liu X Q. An eigenvector-based approach for multidimensional frequency estimation with improved identifiability [J]. IEEE Transactions on Signal Processing, 2006, 54(12): 4543-4556.

[18] Lemma A N, Veen A J, Deprettere E F. Multiresolution ESPRIT algorithm [J]. IEEE Transactions on Signal Processing, 1999, 47(6): 1722-1726.

稀疏阵列MIMO雷达高精度收发角度联合估计

Joint DOD and DOA Estimation with High Accuracy in Bistatic MIMO Radar Using Sparse Array

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