Abstract
Conventional direction-of-arrival (DOA) estimation methods for coherent noncircular signals may reduce the effective aperture of sensor arrays and thus have low estimation accuracy. To address this problem, a low complexity algorithm for DOA estimation of noncircular coherent signals, the extended ESPRIT-like (EEL) algorithm, is proposed in this paper. The proposed EEL algorithm has fully utilized the effective array aperture and the number of the sources that can be detected by the proposed algorithm now can attain the two-third of the total number of the im**ing sources. Compared with the existing DOA estimation methods for noncircular coherent signals, the proposed EEL algorithm has lower computational complexity and higher DOA estimation accuracy. Simulation results are presented to show the superior performance of the proposed method.
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Notes
We will discuss the optimum values of \(Q\) and \(m\) in Sect. 4.
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Acknowledgments
This work is supported in part by the National Natural Science Foundation of China under Grant 61471190, the Fundamental Research Funds for the Central Universities under Grant NS2014041, the Priority Academic Program Development of Jiangsu Higher Education Institutions and Nan**g University of Information Science and Technology Foundation, China, under Grant 2012x045.
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Sun, XY., Zhou, JJ. & Chen, HW. Low complexity direction-of-arrival estimation of coherent noncircular sources. Multidim Syst Sign Process 27, 159–177 (2016). https://doi.org/10.1007/s11045-014-0296-1
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DOI: https://doi.org/10.1007/s11045-014-0296-1