Abstract
This paper investigates the problem of two dimensional (2-D) directions-of-arrival (DOA) estimation of multiple signals in co-prime planar arrays. The array consists of two uniform planar arrays with their respective inter-element spacing being both larger than half wavelength, which can enhance the resolution but at the cost of phase ambiguity. The phase ambiguity problem can be addressed by combining the results of two subarrays. Specifically, we apply the multiple signal classification (MUSIC) algorithm to each subarray to acquire their respective spectrum; then we obtain the joint spatial spectrum, which is defined as the product of the respective spatial spectrums; Finally, according to co-prime property, we search over the angular field for the spectral peaks to estimate the DOA uniquely. Finally, we verify the effectiveness of the proposed method via simulations.
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Acknowledgment
This work is supported by Key Projects in the National Science and Technology Pillar Program during the Twelfth Fiveyear Plan Period (2011BAD32B02). Shandong Provincial Natural Foundation, China (ZR2017PF007 and ZR2016FB19).
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Sun, F., Zhao, L., Li, X., Lan, P., Zi, Y. (2018). A Computationally Efficient 2-D DOA Estimation Approach for Non-uniform Co-prime Arrays. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_18
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DOI: https://doi.org/10.1007/978-3-319-66628-0_18
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