Adaptive beamforming suffers from performance degradation in the presence of mismatch between the actual and presumed array steering vector of the desired signal. We propose a novel approach to adaptive beamforming that is robust to array errors. The proposed method involves two steps: the first step is to estimate the actual steering vector of the desired signal, and the second is to obtain optimal weight by utilizing the estimated steering vector. Our method belongs to the class of diagonal loading, but the optimal amount of diagonal loading level can be precisely calculated based on the uncertainty set of the steering vector. Moreover, the proposed robust Capon beamforming has an explicit closed-form solution. Computer simulation results...
Adaptive beamforming can efficiently contract interference and noise. Due to high sensitivity of the...
Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance ...
In this paper, we propose a new method for estimating the steering vector under uncertainties, which...
We propose a Bayesian approach to robust adaptive beamforming which entails considering the steering...
Abstract—Adaptive beamforming methods degrade in the presence of model mismatch. In this paper, we d...
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix ...
Abstract — Many advanced adaptive beamformers are robust against arbitrary array steering vector (AS...
Abstract The minimum power distortionless response beamformer has a good interference rejection capa...
Existing robust Capon beamformers achieve robustness against steering vector errors at a high cost i...
This paper deals with the problem of using antenna sensors for adaptive beamforming in the presence ...
A novel low-complexity robust adaptive beamforming (RAB) technique is proposed in order to overcome ...
The robust Capon beamformer has been shown to alleviate the problem of signal cancellation resulting...
Traditional adaptive beamforming methods are known to undergo serious performance degradation in the...
The standard MVDR beamformer has high resolution and in-terference rejection capability when the arr...
International audienceAdaptive beamforming methods, when applied to practical problems, are known to...
Adaptive beamforming can efficiently contract interference and noise. Due to high sensitivity of the...
Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance ...
In this paper, we propose a new method for estimating the steering vector under uncertainties, which...
We propose a Bayesian approach to robust adaptive beamforming which entails considering the steering...
Abstract—Adaptive beamforming methods degrade in the presence of model mismatch. In this paper, we d...
In this paper, a new adaptive beamforming algorithm with joint robustness against covariance matrix ...
Abstract — Many advanced adaptive beamformers are robust against arbitrary array steering vector (AS...
Abstract The minimum power distortionless response beamformer has a good interference rejection capa...
Existing robust Capon beamformers achieve robustness against steering vector errors at a high cost i...
This paper deals with the problem of using antenna sensors for adaptive beamforming in the presence ...
A novel low-complexity robust adaptive beamforming (RAB) technique is proposed in order to overcome ...
The robust Capon beamformer has been shown to alleviate the problem of signal cancellation resulting...
Traditional adaptive beamforming methods are known to undergo serious performance degradation in the...
The standard MVDR beamformer has high resolution and in-terference rejection capability when the arr...
International audienceAdaptive beamforming methods, when applied to practical problems, are known to...
Adaptive beamforming can efficiently contract interference and noise. Due to high sensitivity of the...
Adaptive beamforming methods are known to degrade in the presence of steering vector and covariance ...
In this paper, we propose a new method for estimating the steering vector under uncertainties, which...