Fuzzy inference based robust beamforming
Signal Processing
A robust minimum variance beamformer with new constraint on uncertainty of steering vector
Signal Processing - Signal processing in UWB communications
A robust capon beamformer against uncertainty of nominal steering vector
EURASIP Journal on Applied Signal Processing
A z-domain transfer function solution to the non-minimum phase acoustic beamformer
International Journal of Systems Science
Robust linear MIMO in the downlink: a worst-case optimization with ellipsoidal uncertainty regions
EURASIP Journal on Advances in Signal Processing
Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response
IEEE Transactions on Signal Processing
Robust adaptive beamforming algorithm under directional uncertainty
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Robust Capon beamformer under norm constraint
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
Super-Gaussian loading for robust beamforming
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Adaptive Bayesian beamforming with sidelobe constraint
IEEE Communications Letters
A robust adaptive beamformer based on worst-case semi-definite programming
IEEE Transactions on Signal Processing
Robust Adaptive Microphone Array with Mainlobe and Response Ripple Control
Journal of Signal Processing Systems
Efficient Radio Transmission with Adaptive and Distributed Beamforming for Intelligent WiMAX
Wireless Personal Communications: An International Journal
Neuro-fuzzy logic in signal processing for communications: from bits to protocols
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Robust Least Squares Constant Modulus Algorithm to Signal Steering Vector Mismatches
Wireless Personal Communications: An International Journal
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An adaptive beamformer that is robust to uncertainty in source direction-of-arrival (DOA) is derived using a Bayesian approach. The DOA is assumed to be a discrete random variable with a known a priori probability density function (PDF) that reflects the level of uncertainty in the source DOA. The resulting beamformer is a weighted sum of minimum variance distortionless response (MVDR) beamformers pointed at a set of candidate DOAs, where the relative contribution of each MVDR beamformer is determined from the a posteriori PDF of the DOA conditioned on previously observed data. A simple approximation to the a posteriori PDF results in a straightforward implementation. Performance of the approximate Bayesian beamformer is compared with linearly constrained minimum variance (LCMV) beamformers and data-driven approaches that attempt to estimate signal characteristics or the steering vector from the data