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Steering vector estimation and beamforming under uncertainties [PDF]

open access: yes2012 IEEE Statistical Signal Processing Workshop (SSP), 2012
In this paper, we propose a new method for estimating the steering vector under uncertainties, which is utilized for improving the robustness of beamforming. We show that the desired steering vector can be estimated in closed form from a convex optimization problem by making use of the subspace principle.
Bin Liao 0001   +3 more
openaire   +3 more sources

Recursive Steering Vector Estimation and Adaptive Beamforming under Uncertainties

IEEE Transactions on Aerospace and Electronic Systems, 2013
The accurate determination of the steering vector of a sensor array that corresponds to a desired signal is often hindered by uncertainties due to array imperfections, such as the presence of a direction-of-arrival (DOA) estimation error, mutual coupling, array sensor gain/phase uncertainties, and sensor position perturbations.
Chan Sc, Bin Liao
exaly   +3 more sources

An RCB-Like Steering Vector Estimation Method Based on Interference Matrix Reduction

IEEE Transactions on Aerospace and Electronic Systems, 2021
To develop an adaptive beamformer against the signal of interest (SOI) steering vector mismatch, a robust Capon beamformer (RCB) like steering vector estimation method based on the interference matrix reduction is proposed. Different from the RCB and its modified versions that optimize the SOI steering vector with the Capon power estimator, this ...
Pan Zhang, Guisheng Liao
exaly   +3 more sources

Signal estimation in the presence of the steering vector uncertainties

2013 IX Internatioal Conference on Antenna Theory and Techniques, 2013
The problem of signal wave form 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.
Andrei Monakov
exaly   +3 more sources

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