Doubly Covariance Matrix Reconstruction Based Blind Beamforming for Coherent Signals [PDF]
Sensors, 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 ...
Zhuang Xie +3 more
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Virtual covariance matrix reconstruction-based adaptive beamforming for small aperture array. [PDF]
PLoS ONE, 2023 Recently, many robust adaptive beamforming (RAB) algorithms have been proposed to improve beamforming performance when model mismatches occur. For a uniform linear array, a larger aperture array can obtain higher array gain for beamforming when the inter-
Lin Chang +4 more
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A Covariance Matrix Reconstruction Approach for Single Snapshot Direction of Arrival Estimation [PDF]
Sensors, 2022 Achieving accurate single snapshot direction of arrival (DOA) information significantly improves communication performance. This paper investigates an accurate and high-resolution DOA estimation technique by enabling single snapshot data collection and ...
Murdifi Muhammad +4 more
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Robust Adaptive Beamforming With Subspace Projection and Covariance Matrix Reconstruction [PDF]
IEEE Access, 2019 In this paper, we present a subspace projection and covariance matrix reconstruction (SPCMR) algorithm for adaptive beamforming to improve the robustness against large SV mismatch.
Xiaoyu Ai, Lu Gan
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Robust Null Broadening Beamforming Based on Covariance Matrix Reconstruction via Virtual Interference Sources [PDF]
Sensors, 2020 When jammers move rapidly or an antenna platform travels at high speed, interference signals may move out of the null width in the array beampattern. Consequently, the interference suppression performance can be significantly degraded.
Jian Yang +3 more
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Robust Beamforming Based on Covariance Matrix Reconstruction in FDA-MIMO Radar to Suppress Deceptive Jamming [PDF]
Sensors, 2022 Frequency diverse array (FDA)-multiple-input multiple-output (MIMO) radars can generate a range-angle two-dimensional transmit steering vector (SV), which is capable of suppressing mainbeam deceptive jamming in the transmit–receive frequency domain by ...
Fuhai Wan, Jingwei Xu, Zhenrong Zhang
doaj +2 more sources
Robust adaptive beamforming based on covariance matrix reconstruction with annular uncertainty set constraints. [PDF]
PLoS ONEA robust adaptive beamforming method based on the interference covariance matrix reconstruction with annular uncertainty set constraints is proposed to address the issues of covariance matrix mismatch and steering vector mismatch caused by the distortion
Gaoxiang Xing +3 more
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URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming
IEEE Transactions on Aerospace and Electronic Systems, 2023 The computational complexity of the conventional adaptive beamformer is relatively large, and the performance degrades significantly due to the model mismatch errors and the unwanted signals in received data. In this paper, an efficient unwanted signal removal and Gauss-Legendre quadrature (URGLQ)-based covariance matrix reconstruction method is ...
Luo Tao, Peng Chen, Zhen-Xin Cao
exaly +3 more sources
Numerical Reconstruction of the Covariance Matrix of a Spherically Truncated Multinormal Distribution [PDF]
Journal of Probability and Statistics, 2017 We relate the matrix SB of the second moments of a spherically truncated normal multivariate to its full covariance matrix Σ and present an algorithm to invert the relation and reconstruct Σ from SB.
Filippo Palombi +2 more
doaj +4 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Accurate estimation of the clutter covariance matrix for the cell under test (CUT) is a committed step in the spatial-temporal adaptive processing (STAP) algorithm.
Tianfu Zhang +5 more
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