@inproceedings{b0fa24b1cb744b5eb80c93f2085caa12,
title = "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 coarray 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.",
keywords = "DOA estimation, Degrees of freedom, Difference co-array, Thinned coprime array",
author = "Ahsan Raza and Wei Liu and Qing Shen",
note = "Publisher Copyright: {\textcopyright} EURASIP 2017.; 25th European Signal Processing Conference, EUSIPCO 2017 ; Conference date: 28-08-2017 Through 02-09-2017",
year = "2017",
month = oct,
day = "23",
doi = "10.23919/EUSIPCO.2017.8081236",
language = "English",
series = "25th European Signal Processing Conference, EUSIPCO 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "395--399",
booktitle = "25th European Signal Processing Conference, EUSIPCO 2017",
address = "United States",
}