Research Article
A Computationally Efficient 2-D DOA Estimation Approach for Non-uniform Co-prime Arrays
@INPROCEEDINGS{10.1007/978-3-319-66628-0_18, author={Fenggang Sun and Lei Zhao and Xiaozhi Li and Peng Lan and Yanbo Zi}, title={A Computationally Efficient 2-D DOA Estimation Approach for Non-uniform Co-prime Arrays}, proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Directions-of-arrival estimation Two dimensional (2-D) Co-prime planar array Phase ambiguity Joint spatial spectrum}, doi={10.1007/978-3-319-66628-0_18} }- Fenggang Sun
Lei Zhao
Xiaozhi Li
Peng Lan
Yanbo Zi
Year: 2017
A Computationally Efficient 2-D DOA Estimation Approach for Non-uniform Co-prime Arrays
CHINACOM
Springer
DOI: 10.1007/978-3-319-66628-0_18
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.
