双基地MIMO雷达高分辨角度估计

doi:10.3969/j.issn.1001-2400.2013.05.006

Abstract

Abstract:

A new method is proposed in this paper for jointly estimating the azimuths DOD-DOA (Direction of Departure-Direction of Arrival) of the targets in the bi-static MIMO scene under the circumstance of the Gaussian white noise. A two-dimension redundant dictionary is firstly constructed based on the bi-static MIMO scene where the targets are present. Then, the positions (DOD-DOA) of the targets are sparsely denoted as a sparse vector by projecting the positions of targets on the redundant dictionary. On the sparse model, an algorithm is applied for solving for the positions of the targets by solving the problem of minimizing the reweighted l₁-norm of the sparse vector. For the algorithm to reconstruct the positions of the targets robustly under a low SNR, a modified weight is used in the algorithm.

Key words: bi-static multiple-input multiple-output radar, direction of departure-direction of drrival, reweighted l₁-norm

CLC Number:

TN957.52

SHEN Fangfang;LI Yaxiang;ZHAO Guanghui;SHI Guangming. High resolution angle estimation of the bistatic MIMO radar[J].J4, 2013, 40(5): 33-37+106.

References

［1］ Fisher E, Haimovich A, Blum R S, et al. MIMO Radar: an Idea Whose Time Has Come［C］//IEEE Radar Conference. Philadelphia: IEEE, 2004: 71-78.
［2］ Fisher E, Haimovich A, Blum R S, et al. Spatial Diversity in Radars-models and Detection Performance ［J］. IEEE Transactions on Signal Processing, 2006, 54(3): 823-838.
［3］ Bekkeman I, Tabrikian J. Target Detection and Localization Using MIMO Radars and Sonar's ［J］. IEEE Transactions on Signal Processing, 2006, 54(10): 3873-3883.
［4］ Luzhou X, Jian L, Stoica P. Target Detection and Parameter Estimation for MIMO Radar Systems ［J］. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 927-939.
［5］ Jian L, Stoica P. MIMO Radar Signal Processing ［M］. New Jersey: John Wiley ＆ Sons, 2008: 1-8.
［6］ Duofang C, Baixiao C, Guodong Q. Angle Estimation Using ESPRIT in MIMO Radar ［J］. Electronics Letters, 2008, 44(12): 770-771.
［7］ Jinlin C, Hong G, Weimin S. Angle Estimation Using ESPRIT without Pairing in MIMO Radar ［J］. Electronics Letters, 2008, 44(24): 1422-1423.
［8］ Yunhe C. Joint Estimation of Angle and Doppler Frequency for Bistatic MIMO Radar ［J］. Electronics Letters, 2010, 46(2): 170-172.
［9］ Liu Fulai, Wang Jinkuan. AD-MUSIC for Jointly DOA and DOD Estimation in Bistatic MIMO Radar System ［C］//2010 Iinternational Conference on Computer Design and Applications(ICCDA). Piscataway: IEEE, 2010: 455-458.
［10］ Zahernia A, Dehghani M J, Javidan R. MUSIC Algorithm for DOA Estimation Using MIMO Arrays ［C］// Proceedings of 2011 6th International Conference on Telecommunication Systems, Services and Applications (TSSA). Piscataway: IEEE, 2011: 149-153.
［11］臧博, 张磊, 唐禹, 等. 利用压缩感知的逆合成孔径激光雷达成像新方法［J］. 西安电子科技大学学报, 2010, 37(6): 1027-1032.
Zang Bo, Zhang Lei, Tang Yu, et al. Novel Imaging Method Using Compressed Sensing for the Inverse Synthetic Aperture Imaging Radar ［J］. Journal of Xidian University, 2010, 37(6): 1027-1032.
［12］刘寅, 吴顺君, 张怀根, 等. 一种快速的基于压缩感知的多普勒高分辨方法［J］. 西安电子科技大学学报, 2011, 38(2): 82-87.
Liu Yin, Wu Shunjun, Zhang Huaigen, et al. Low Complexity Compressed Sensing Besed Doppler High Resolution Algorithm ［J］. Journal of Xidian University, 2011, 38(2): 82-87.
［13］ Zhang Yuxi, Sun Jinping, Tian Jihua, et al. Compressive Sensing SAR Imaging with Real Data ［C］//Proceedings of 2010 3rd International Congress on Image and Signal Processing: 4. Piscataway: IEEE, 2010: 2026-2029.
［14］ Wu Jiao, Liu Fang, Jiao Licheng, et al. Compressive Sensing SAR Image Reconstruction Based on Bayesian Framework and Evolutionary Computation ［J］. IEEE Transactions on Image Processing, 2011, 20(7): 1904-1911.
［15］ Xing T, William R, Jian L. Sparse Learning Via Iterative Minimization with Application to MIMO Radar Imaging ［J］. IEEE Transactions on Signal Processing, 2011, 59(3): 1088-1101.
［16］ Candes E J, Wakin M B. An Introduction To Compressive Sampling ［J］. IEEE Signal Processing Magazine, 2008, 25(2): 21-30.
［17］ Li Jian, Stoica P, Zheng Xiayu. Signal Synthesis and Receiver Design for MIMO Radar Imaging ［J］. IEEE Transactions on Signal Processing, 2008, 56(8): 3959-3968.
［18］ Donoho D L. Compressed Sensing ［J］. IEEE Transactions on Information Theory, 2006, 52(4): 5406-5425.
［19］ Candes E J, Romberg J, Tao T. Robust Uncertainty Principles. Exact Signal Reconstruction from Highly Incomplete Frequency Information ［J］. IEEE Transactions on Information Theory, 2006, 52(2): 489-509.
［20］ Candes E J, Wakin M B, Boyd S P. Enhancing Sparsity by Reweighted l₁ Minimization ［J］. Journal of Fourier Analysis and Applications, 2008, 14(5): 877-905.

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High resolution angle estimation of the bistatic MIMO radar

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