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Deconvolved Conventional Beamforming for a Coprime Array
OCEANS 2019 - Marseille, 2019Coprime 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
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Detection performance of coprime sensor arrays
The Journal of the Acoustical Society of America, 2013Coprime sensor arrays (CSAs) achieve the resolution of a fully populated uniform linear array (ULA) with the same aperture using fewer sensors. The CSA's reduced number of sensors diminishes its ability to attenuate white noise, and consequently also reduces its array gain. Assuming narrowband independent signal and white noise, when the signal and the
Kaushallya Adhikari, John R. Buck
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Universal Hole-Filling Strategies for Coprime Arrays
IEEE Transactions on Signal ProcessingCoprime arrays (CAs) are found to be captivating for striking a balance among the increased number of degrees of freedom (DOFs), reduced mutual coupling and applicable aperture. However, holes in the difference co-array (DCA) reduce the achievable number of DOFs, and further restrict the complete utilization of the aperture.
Xiang Li 0034 +6 more
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The Mean-Squared-Error of autocorrelation sampling in coprime arrays
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017Standard 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 +2 more
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DECOM: DOA estimation with combined MUSIC for coprime array
2013 International Conference on Wireless Communications and Signal Processing, 2013In 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 +3 more
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Sparse Direction-of-Arrival Estimation with Directive Coprime Arrays
2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2018This 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 +3 more
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A special coprime array configuration for increased degrees of freedom
Digital Signal Processing, 2022Rajen Kumar Patra, Anindya Sundar Dhar
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Direction of Arrival Estimation Using Sparse Nested Arrays With Coprime Displacement
IEEE Sensors Journal, 2021Jianfeng Li +2 more
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Minimum Mean-Squared-Error autocorrelation processing in coprime arrays
2021Dimitris G Chachlakis +2 more
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