Abstract
In this article, the problem of joint direction of arrival (DOA) and Doppler frequency estimation using parallel factor (PARAFAC) analysis in the monostatic multiple-input multiple-output radar is investigated and a reduced-dimensional PARAFAC (RD-PARAFAC) algorithm is proposed. In order to overcome the shortcoming of the heavy computational load in conventional PARAFAC algorithm, we firstly utilize a RD transformation by employing the property of uniform linear arrays, which can remove the redundant entries of steering matrix. By means of the reduced-dimensional transformation, the proposed algorithm can reduce the computational complexity, save memory capacity significantly and has very close joint DOA and Doppler frequency estimation performance when compared with conventional PARAFAC algorithm. Meanwhile, it outperforms the estimation of signal parameters via rotational invariance technique and the propagator method. Furthermore, our algorithm needs no spectral peak searching or pair matching. The complexity analysis and the Cramer-Rao Bound of the DOA and frequency estimation is derived. Simulations are provided to verify its effectiveness and superiority.
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Acknowledgments
This work is supported by China NSF Grants (61371169, 61301108, 61471191, 61471192, 61271327), Jiangsu Planned Projects for Postdoctoral Research Funds (1201039C), China Postdoctoral Science Foundation (2012M521099,2013M541661), Open project of Key Laboratory of modern acoustic of Ministry of Education (Nanjing University), the Aeronautical Science Foundation of China(20120152001), Qing Lan Project, priority academic program development of Jiangsu high education institutions and the Fundamental Research Funds for the Central Universities (NS2013024, kfjj130114, kfjj130115).
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Cao, R., Zhang, X. & Wang, C. Reduced-Dimensional PARAFAC-Based Algorithm for Joint Angle and Doppler Frequency Estimation in Monostatic MIMO Radar. Wireless Pers Commun 80, 1231–1249 (2015). https://doi.org/10.1007/s11277-014-2084-5
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DOI: https://doi.org/10.1007/s11277-014-2084-5