Abstract
In this paper, the issue of two-dimensional direction of arrival estimation in monostatic multiple-input–multiple-output (MIMO) radar with double parallel uniform linear arrays is studied, and an algorithm based on estimation of signal parameters via rotational invariance techniques (ESPRIT) is proposed. Through a series of reduced-dimensional transformations, the proposed algorithm has very low complexity due to the low dimension. Meanwhile, the estimation performance of the proposed algorithm is slightly improved compared to the conventional ESPRIT, especially in low signal-to-noise ratio. Furthermore, the algorithm can estimate azimuth and elevation angles without additional pair matching in monostatic MIMO radar. Error analysis of the angle estimation and Cramér–Rao bound are derived. Simulation results verify the usefulness of our algorithm.
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Acknowledgments
This work is supported by China NSF Grants (61371169, 61071164), Jiangsu Planned Projects for Postdoctoral Research Funds (1201039C), China Postdoctoral Science Foundation (2012M521099), Open project of key laboratory of underwater acoustic communication and marine information technology (Xiamen University), Hubei Key Laboratory of Intelligent Wire1ess Communications (IWC2012002), Open project of Key Laboratory of Nondestructive Testing (Nanchang Hangkong University), Open project of Key Laboratory of modern acoustic of Ministry of Education (Nanjing University), the Aeronautical Science Foundation of China (20120152001), PAPD of Jiangsu Higher Education Institutions, Funding for Outstanding Doctoral Dissertation in NUAA (BCXJ13-09), Funding of Jiangsu Innovation Program for Graduate Education (CXZZ13_0165), Qing Lan Project and the Fundamental Research Funds for the Central Universities (NS2013024, NZ2012010, kfjj120115, kfjj20110215).
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Li, J., Zhang, X., Chen, W. et al. Reduced-Dimensional ESPRIT for Direction Finding in Monostatic MIMO Radar with Double Parallel Uniform Linear Arrays. Wireless Pers Commun 77, 1–19 (2014). https://doi.org/10.1007/s11277-013-1491-3
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DOI: https://doi.org/10.1007/s11277-013-1491-3