Abstract
In the process of direction-of-arrival (DOA) estimation, the difference co-array of sparse arrays can achieve high degrees of freedom, which can be utilized to detect more signal sources than physical sensors based on spatial smoothing (SS) algorithm. In this paper, we present a method for DOA estimation using sparse signal recovery through compressive sensing (CS) approach in the presence of mutual coupling. Compared with SS algorithm, CS approach achieves a lower estimation error. Additionally, simulation results show that the estimation error of CS approach increases with the increase of mutual coupling. Also, it increases with the increase of the grid interval of the entire DOA space.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (61671138, 61731006) and was partly supported by the 111 Project No. B17008.
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Zhang, J., Duan, Z., Zhang, Y., Liang, J. (2020). Compressive Sensing Approach for DOA Estimation Based on Sparse Arrays in the Presence of Mutual Coupling. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 516. Springer, Singapore. https://doi.org/10.1007/978-981-13-6504-1_151
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DOI: https://doi.org/10.1007/978-981-13-6504-1_151
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