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A Cascaded Neural Network for Robust Phase-Only Beamforming Under Covariance Matrix Mismatch [PDF]
SensorsThis paper presents a cascaded neural network framework for phase-only beamforming under covariance matrix mismatch. The proposed architecture combines a denoising autoencoder (DAE) with a residual network (ResNet) to address performance degradation ...
Zhonghui Zhao +5 more
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Modeling the Covariance Matrix for the Power Spectra Before and After the BAO Reconstruction
Research in Astronomy and AstrophysicsAbstract The baryon acoustic oscillations (BAO) reconstruction plays a crucial role in cosmological analysis for spectroscopic galaxy surveys because it can make the density field effectively more linear and more Gaussian. The combination of the power spectra before and after the BAO reconstruction helps break degeneracies among ...
Ruiyang Zhao +3 more
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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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An Array Position Error Calibration Method Based on Matrix Reconstruction for DOA Estimation [PDF]
Hangkong bingqi, 2022 Aiming at the problem that the array pattern has some deviation and disturbance caused by the array position error, which leads to the estimation performance degradation of direction of arrival (DOA) in multiple signal classification (MUSIC) algorithm ...
Li Xinghua, Guo Muran, Liu Lutao
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Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling
CoRR, 2023 14 pages, 8 ...
Saeed Mohammadzadeh +3 more
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IEEE Access, 2021 In order to solve the problem that the gridless DOA estimation algorithms based on generalized finite rate of innovation (FRI) signal reconstruction model are not suitable for two-dimensional DOA estimation using planar array, a separable gridless DOA ...
Kunda Wang, Lin Shi, Tao Chen
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Sensors, 2022 To address the problems of low accuracy and low robustness of the conventional algorithm in estimating the direction of arrival (DOA) of coherent signals against a composite background of strong interference and non-uniform noise, in this paper, a ...
Bin Lin +3 more
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Robust widely linear beamforming using estimation of extended covariance matrix and steering vector
EURASIP Journal on Wireless Communications and Networking, 2020 The distribution of the received signals in many array processing applications is noncircular. Although optimal widely linear beamformer (WLB) can provide the best performance for noncircular received signals, its performance degrades severely under ...
Zhen Meng, Weidong Zhou, Saeed Gazor
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EURASIP Journal on Advances in Signal Processing, 2020 Due to the rapid development and wide application of compressed sensing and sparse reconstruction theory, there exists a series of sparsity-based methods for the antenna sensor array direction of arrival (DOA) estimation with excellent performance ...
Tao Chen, Lin Shi, Yongzhi Yu
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Low-Complexity Robust Adaptive Beamforming Based on INCM Reconstruction via Subspace Projection
Sensors, 2021 Adaptive beamforming is sensitive to steering vector (SV) and covariance matrix mismatches, especially when the signal of interest (SOI) component exists in the training sequence.
Yanliang Duan +3 more
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