Thinned Coprime Arrays for DOA Estimation
Abstract
Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer enhanced degrees-of-freedom (DOFs) which can be exploited in both beamforming and direction-of-arrival (DOA) estimation. One class of sparse arrays is the coprime array, composed of two uniform linear subarrays which yield an effective difference co-array with higher number of DOFs. In this work, we present a new coprime array structure termed thinned coprime array (TCA), which exploits the redundancy in the structure of the existing coprime array and achieves the same virtual aperture and DOFs as the conventional coprime array with much fewer number of sensors. An analysis of the DOFs provided by the new structure in comparison with other sparse arrays is provided and simulation results for DOA estimation using the compressive sensing based method are provided.
Cite
@article{arxiv.1705.00680,
title = {Thinned Coprime Arrays for DOA Estimation},
author = {Ahsan Raza and Wei Liu and Qing Shen},
journal= {arXiv preprint arXiv:1705.00680},
year = {2017}
}
Comments
This paper has been submitted to European Signal Processing Conference (EUSIPCO 2017) and is under peer review at present