Results 151 to 160 of about 311 (170)

Deconvolved Conventional Beamforming for a Coprime Array

OCEANS 2019 - Marseille, 2019
Coprime Sensor Array (CSA) has received a lot of attentions recently due to "coprime" nature of the array configuration, which yields a high resolution using product processing with fewer sensors, similar to that of a uniform liner array (ULA) of a larger aperture using conventional beamforming (CBF), with more sensors. Compared with the ULA, CSA yield
Zhengzheng Ye, T.C. Yang
openaire   +1 more source

Direction-of-Arrival Estimation for Coprime Array via Virtual Array Interpolation

IEEE Transactions on Signal Processing, 2018
Coprime arrays can achieve an increased number of degrees of freedom by deriving the equivalent signals of a virtual array. However, most existing methods fail to utilize all information received by the coprime array due to the non-uniformity of the derived virtual array, resulting in an inevitable estimation performance loss. To address this issue, we
Chengwei Zhou, Yujie Gu 0001, Xing Fan, Zhiguo Shi 0001, Guoqiang Mao, Yimin D. Zhang   +5 more
openaire   +1 more source

The Mean-Squared-Error of autocorrelation sampling in coprime arrays

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
Standard direction-of-arrival estimation using coprime arrays samples the entries of the estimated physical-array autocorrelation matrix, organizes them in a matrix structure, and conducts multiple-signal classification (MUSIC) with singular vectors of the resulting matrix.
Dimitris G. Chachlakis, Panos P. Markopoulos, Fauzia Ahmad   +2 more
openaire   +1 more source

DECOM: DOA estimation with combined MUSIC for coprime array

2013 International Conference on Wireless Communications and Signal Processing, 2013
In this paper, we propose a direction-of-arrival (DOA) estimation method by combining multiple signal classification (MUSIC) of two decomposed linear arrays for the corresponding coprime array signal processing. The title “DECOM” means that, first, the nonlinear coprime array needs to be DECOMposed into two linear arrays, and second, Doa Estimation is ...
Chengwei Zhou, Zhiguo Shi 0001, Yujie Gu 0001, Xuemin Shen   +3 more
openaire   +1 more source

Sparse Direction-of-Arrival Estimation with Directive Coprime Arrays

2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2018
This paper proposes a sparse direction of arrival (DOA) estimation method for directive coprime arrays. The complex radiation patterns are extracted using an electromagnetic simulator and then incorporated in the DOA estimation. Three DOA algorithms are compared including Capon, MUSIC, and Lasso based on compressive sensing (CS).
Saleh A. Alawsh, Ahmed I. Oweis, Ali H. Muqaibel, Mohammed S. Sharawi   +3 more
openaire   +1 more source

Hole Locations and a Filling Method for Coprime Planar Arrays for DOA Estimation

IEEE Communications Letters, 2021
Yide Wang, Xiao Yang, Pascal Chargé
exaly  

A special coprime array configuration for increased degrees of freedom

Digital Signal Processing, 2022
Rajen Kumar Patra, Anindya Sundar Dhar
openaire   +1 more source

Far-Field DOA Estimation of Uncorrelated RADAR Signals through Coprime Arrays in Low SNR Regime by Implementing Cuckoo Search Algorithm

Electronics (Switzerland), 2022
Farman Ali, Md Sipon Miah, Mohammad Alibakhshikenari   +2 more
exaly  

Minimum Mean-Squared-Error autocorrelation processing in coprime arrays

2021
Panos P Markopoulos, Fauzia Ahmad, Dimitrios Chachlakis   +2 more
exaly  

COPRIME MICROPHONE ARRAY SYSTEM

2016
XIANG NING, BUSH DANE
openaire   +3 more sources