Results 141 to 150 of about 2,749,514 (184)

Interference-Plus-Noise Covariance Matrix Reconstruction via Spatial Power Spectrum Sampling for Robust Adaptive Beamforming [PDF]

open access: yesIEEE Signal Processing Letters, 2016
Recently, a robust adaptive beamforming (RAB) technique based on interference-plus-noise covariance (INC) matrix reconstruction has been proposed, which utilizes the Capon spectrum estimator integrated over a region separated from the direction of the ...
Wei Liu, Wen Leng, Anguo Wang
exaly   +2 more sources

Robust MVDR beamforming based on covariance matrix reconstruction

Science China Information Sciences, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pengcheng Mu   +3 more
openaire   +3 more sources

Doa estimation by covariance matrix sparse reconstruction of coprime array

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2015
In this paper, we propose a direction-of-arrival estimation method by covariance matrix sparse reconstruction of coprime array. Specifically, source locations are estimated by solving a newly formulated convex optimization problem, where the difference between the spatially smoothed covariance matrix and the sparsely reconstructed one is minimized ...
Chengwei Zhou   +3 more
openaire   +2 more sources

Robust Adaptive Beamforming via Subspace for Interference Covariance Matrix Reconstruction

Signal Processing, 2020
Abstract Adaptive beamforming may cause performance degradation when model mismatch errors exist. In this paper, we have developed subspace methods for robust adaptive beamforming (RAB). The two proposed methods utilize the orthogonality of subspace to reconstruct the interference covariance matrix (ICM).
Zhongfu Ye
exaly   +3 more sources

Focusing-Based Wideband Adaptive Beamforming Using Covariance Matrix Reconstruction

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Most focusing-based beamforming methods are devoted to solely focusing matrix designing, which aims to minimize the overall focusing error. However, these methods may suffer from performance degradation when steering vector (SV) error exists. To maximize the overall performance of focusing-based beamformer, this paper presents an adaptive focusing ...
Peng Chen 0020   +2 more
openaire   +1 more source

DoA Estimation Using Neural Network-Based Covariance Matrix Reconstruction

IEEE Signal Processing Letters, 2021
In this paper, we discuss a new approach to direction of arrival estimation for systems with subarray sampling. We propose to estimate the covariance matrix of the full array from the sample covariance matrices of the subarrays using a neural network. This technique enables the estimation of more sources than radio frequency chains by applying a MUSIC ...
Andreas Barthelme, Wolfgang Utschick
openaire   +1 more source

Direction-of-arrival estimation based on Toeplitz covariance matrix reconstruction

2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
This paper addresses the issue of direction-of-arrival (DOA) estimation with an objective to eliminate the off-grid effect of the sparsity-based methods and enlarge the maximum number of distinguishable signals in the subspace-based methods. We first reconstruct the covariance matrix of the array output in the Toeplitz structure and then employ the ...
Xiaohuan Wu   +2 more
openaire   +2 more sources

Robust Beamforming Method Based on Double-layer Reconstruction of Covariance Matrix

2020 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA), 2020
Focusing on the problem that the performance of traditional adaptive beamformer declines sharply when the covariance matrix contains the target signal component and the mismatch occurs in target steering vector, a robust beamforming algorithm based on double-layer reconstruction of interference-plus-noise covariance matrix is proposed in this paper ...
Silei Cao, Tianyu Li, Yao Wang
openaire   +2 more sources

Robust Adaptive Beamforming via Covariance Matrix Reconstruction and Interference Power Estimation

IEEE Communications Letters, 2021
The performance of the traditional Capon beamformer degrades sharply when the signal of interest (SOI) appears in the training data. To reduce the impact of SOI on the Capon beamformer, two methods for the interference-plus-noise covariance matrix (INCM) reconstruction are proposed in this letter.
Pengyu Wang, Huichao Yang, Zhongfu Ye
exaly   +3 more sources

A robust MVDR beamforming based on covariance matrix reconstruction

SPIE Proceedings, 2011
The minimum variance distortionless response (MVDR) beamformer has better resolution and much better interference rejection capability than the data-independent beamformers. However, the former is much more sensitive to errors, such as the array steering errors caused by direction of arrival mismatch or imprecise sensor calibrations or any other ...
Pengcheng Mu, Dan Li, Qinye Yin
openaire   +1 more source

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