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Doubly Covariance Matrix Reconstruction Based Blind Beamforming for Coherent Signals

1
College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
2
College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(12), 3595; https://doi.org/10.3390/s20123595
Received: 19 May 2020 / Revised: 22 June 2020 / Accepted: 23 June 2020 / Published: 25 June 2020
This paper proposes a beamforming method in the presence of coherent multipath arrivals at the array. The proposed method avoids the prior knowledge or estimation of the directions of arrival (DOAs) of the direct path signal and the multipath signals. The interferences are divided into two groups based on their powers and the interference-plus-noise covariance matrix (INCM) is reconstructed through the doubly covariance matrix reconstruction concept. The composite steering vector (CSV) that accounts for the direct path signal and multipath signals is estimated as the principal eigenvector of the sample covariance matrix with interferences and noise removed. The optimal weight vector is finally computed using the INCM and the CSV. The proposed method involves no spatial smoothing and avoids reduction in the degree of freedom. Simulation results demonstrate the improved performance of the proposed method. View Full-Text
Keywords: multipath arrivals; blind beamforming; interference-plus-noise covariance matrix; composite steering vector multipath arrivals; blind beamforming; interference-plus-noise covariance matrix; composite steering vector
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Xie, Z.; Fan, C.; Zhu, J.; Huang, X. Doubly Covariance Matrix Reconstruction Based Blind Beamforming for Coherent Signals. Sensors 2020, 20, 3595.

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