Results 11 to 20 of about 97,244 (184)
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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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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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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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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STAP Based on Toeplitz Covariance Matrix Reconstruction for Airborne Radar
Mathematical Problems in Engineering, 2020 We consider the problem of clutter covariance matrix (CCM) estimation for space-time adaptive processing (STAP) radar in the small sample. In this paper, a fast efficient algorithm for CCM reconstruction is proposed to overcome this shortcoming for the linear structure.
Mingxin Liu +4 more
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Efficient Covariance Matrix Reconstruction with Iterative Spatial Spectrum Sampling
, 2023 14 pages, 8 ...
Mohammadzadeh, S. +3 more
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IEEE Access, 2019 Recently, a number of robust adaptive beamforming (RAB) methods based on Capon power spectrum estimator integrated over a specific region for covariance matrix reconstruction have been proposed.
Xingyu Zhu, Zhongfu Ye, Xu Xu, Rui Zheng
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