Results 261 to 270 of about 2,523,034 (280)

An improved design of robust adaptive beamforming based on steering vector estimation

2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017
Consider an optimal design problem of robust adaptive beamforming of minimum variance distortionless response, based on estimation of steering vector. The optimal beamformer is obtained by computing the sample matrix inverse and an optimal estimate of the desired signal steering vector.
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Robust Widely Widely Beamforming via the Technique of Shrinkage for Steering Vector Estimation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
In this paper, two novel robust widely linear beamforming algorithms based on the technique of shrinkage are proposed, i.e., the WL-RBLW and the WL-OAS. Firstly, in order to remove the signal-of-interest's (SOl's) component from the sample covariance matrix (SCM), the augmented interference-plus-noise covariance matrix (A-IPNCM) is reconstructed based ...
Jiangbo Liu, Wei Xie 0003, Changsheng Wang, Qun Wan   +3 more
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Robust adaptive beamforming based on jointly estimating covariance matrix and steering vector

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix uncertainty as well as steering vector mismatch is proposed. First, the theoretical covariance matrix is estimated based on the shrinkage method. Subsequently, the difference between the actual and the presumed steering vector is estimated by solving a ...
Yujie Gu, Amir Leshem
openaire   +1 more source

Robust adaptive beamforming based on covariance matrix and new steering vector estimation

Signal, Image and Video Processing, 2019
A new approach to the design of robust adaptive beamforming is introduced. In this approach, first the sample covariance matrix is replaced by the estimated interference-plus-noise covariance matrix which is constructed by exploiting the spatial spectrum distributions of a generalized Hermitian covariance matrix and the sample covariance matrix.
Saeed Mohammadzadeh, Osman Kukrer
openaire   +1 more source

Array self-calibration via robust steering vector estimation

The Journal of the Acoustical Society of America
We present an algorithm for jointly estimating the directions of arrival (DoAs) and array calibration parameters under the assumption of unknown gain and phase errors. We utilize an alternating approach: (1) For a given set of DoAs, we estimate the true array response in each source direction using robust steering vector estimation.
John Lipor, John Gebbie
openaire   +1 more source

Spoofing Interference Suppression for GNSS Based on Estimating Steering Vectors

2015
The paper proposes a spoofing interference suppression algorithm for multiple spoofing interferences existing simultaneously. First, the signals which received from the reference antenna array are captured. The information about visible satellite signals’ Doppler frequency and code delay are acquired.
Yaotian Zhang, Lu Wang, Wenyi Wang, Dan Lu, Qiongqiong Jia, Renbiao Wu   +5 more
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Asymptotically optimum estimation of signal waveform in the presence of uncertainties about the steering vector

Signal Processing, 2013
Abstract The problem of signal waveform estimation using an antenna array in case of uncertainties about the steering vector is considered. New asymptotically (in sample size) optimum estimators are derived. In contrast to the known optimal solutions, the employed method of synthesis yields non-iterative direct-form estimators. Simulation results are
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Sequenced Steering Vector Estimation for Eigen-Subspace Projection-Based Robust Adaptive Beamformer

Electronics (Switzerland), 2023
Weixing Sheng, Xiangwei Chen
exaly  

Autofocus Neural Beamformer Based on Steering Vector Estimation

2025 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
Reiya Marukawa, Takeshi Yamada
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Robust adaptive beamforming based on a method for steering vector estimation and interference covariance matrix reconstruction

Signal Processing, 2021
Zhongfu Ye
exaly