A robust adaptive Capon beamforming
Signal Processing - Fractional calculus applications in signals and systems
Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Correlation matching approach for spectrum sensing in open spectrum communications
IEEE Transactions on Signal Processing
Robust cognitive beamforming with bounded channel uncertainties
IEEE Transactions on Signal Processing
On low complexity robust beamforming with positive semidefinite constraints
IEEE Transactions on Signal Processing
Robust adaptive beamforming under the quadratic inequality constraint
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Filter-and-forward distributed beamforming in relay networks with frequency selective fading
IEEE Transactions on Signal Processing
Robust adaptive beamforming in partly calibrated sparse sensor arrays
IEEE Transactions on Signal Processing
Noncircularity restoral for multi-antenna blind beamforming
Multidimensional Systems and Signal Processing
Robust constrained least square constant modulus algorithm
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Robust Adaptive Beamforming Under Quadratic Constraint with Recursive Method Implementation
Wireless Personal Communications: An International Journal
Joint receive-transmit beamforming for multi-antenna relaying schemes
IEEE Transactions on Signal Processing
Optimized training sequences for spatially correlated MIMO-OFDM
IEEE Transactions on Wireless Communications
A robust adaptive beamformer based on worst-case semi-definite programming
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Robust Adaptive Microphone Array with Mainlobe and Response Ripple Control
Journal of Signal Processing Systems
Robust constrained constant modulus algorithm
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Robust Capon beamforming against large DOA mismatch
Signal Processing
Multidimensional Systems and Signal Processing
Robust adaptive beamforming using an iterative FFT algorithm
Signal Processing
Wireless Personal Communications: An International Journal
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The performance of adaptive beamforming methods is known to degrade severely in the presence of even small mismatches between the actual and presumed array responses to the desired signal. Such mismatches may frequently occur in practical situations because of violation of underlying assumptions on the environment, sources, or sensor array. This is especially true when the desired signal components are present in the beamformer "training" data snapshots because in this case, the adaptive array performance is very sensitive to array and model imperfections. The similar phenomenon of performance degradation can occur even when the array response to the desired signal is known exactly, but the training sample size is small. We propose a new powerful approach to robust adaptive beamforming in the presence of unknown arbitrary-type mismatches of the desired signal array response. Our approach is developed for the most general case of an arbitrary dimension of the desired signal subspace and is applicable to both the rank-one (point source) and higher rank (scattered source/fluctuating wavefront) desired signal models. The proposed robust adaptive beamformers are based on explicit modeling of uncertainties in the desired signal array response and data covariance matrix as well as worst-case performance optimization. Simple closed-form solutions to the considered robust adaptive beamforming problems are derived. Our new beamformers have a computational complexity comparable with that of the traditional adaptive beamforming algorithms, while, at the same time, offer a significantly improved robustness and faster convergence rates.