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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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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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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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
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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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Impact of different estimations of the background-error covariance matrix on climate reconstructions based on data assimilation [PDF]
Climate of the Past, 2019 Data assimilation has been adapted in paleoclimatology to reconstruct past climate states. A key component of some assimilation systems is the background-error covariance matrix, which controls how the information from observations spreads into the model
V. Valler +5 more
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Adaptive Reconstruction for Spatial Covariance Matrix in Hybrid Massive MIMO Systems [PDF]
IEEE Access, 2021 Spatial covariance matrix (SCM) plays an important role in super-resolution direction-of-arrival (DOA) estimation, which can be derived using traditional sample average approach.
Yiwei Yan, Yinsheng Liu, Hongtao Duan
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Mainlobe Interference Suppression Based on POL-SPICE and Covariance Matrix Reconstruction for Polarization-Sensitive Arrays [PDF]
SensorsAdaptive beamforming based on polarization-sensitive arrays enables joint spatial–polarization filtering for mainlobe interference suppression, but mainlobe distortion and performance degradation occur when the received data include the desired signal or
Buma Xiao +3 more
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