Robust Adaptive Beamforming

Presenting the research and developments in robust adaptive beamforming, this book is a reference resource for engineers, researchers, and graduate students in this field. Methods presented include: diagonal loading for finite sample size beamforming; mean-squared error beamforming for signal estimation; constant modulus beamforming; and more.

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This book presents the latest research and developments in robust adaptive beamforming. Recent work has made great strides toward devising robust adaptive beamformers that vastly improve signal strength against background noise and directional interference. This dynamic technology has diverse applications, including radar, sonar, acoustics, astronomy, seismology, communications, and medical imaging. There are also exciting emerging applications such as smart antennas for wireless communications, hand-held ultrasound imaging systems, and directional hearing aids. "Robust Adaptive Beamforming" compiles the theories and work of leading researchers investigating various approaches in one comprehensive volume. Unlike previous efforts, these pioneering studies are based on theories that use an uncertainty set of the array steering vector. The researchers define their theories, explain their methodologies, and present their conclusions.
Methods presented include: coupling the standard Capon beamformers with a spherical or ellipsoidal uncertainty set of the array steering vector; diagonal loading for finite sample size beamforming; mean-squared error beamforming for signal estimation; constant modulus beamforming; and robust wideband beamforming using a steered adaptive beamformer to adapt the weight vector within a generalized side lobe canceller formulation. "Robust Adaptive Beamforming" provides a truly up-to-date resource and reference for engineers, researchers, and graduate students in this promising, rapidly expanding field.