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2018 | OriginalPaper | Buchkapitel

A Computationally Efficient 2-D DOA Estimation Approach for Non-uniform Co-prime Arrays

verfasst von : Fenggang Sun, Lei Zhao, Xiaozhi Li, Peng Lan, Yanbo Zi

Erschienen in: Communications and Networking

Verlag: Springer International Publishing

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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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Metadaten
Titel
A Computationally Efficient 2-D DOA Estimation Approach for Non-uniform Co-prime Arrays
verfasst von
Fenggang Sun
Lei Zhao
Xiaozhi Li
Peng Lan
Yanbo Zi
Copyright-Jahr
2018
Verlag
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-66628-0_18

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