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, handheld 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
* Robust wideband beamforming using a steered adaptive beamformer
to adapt the weight vector within a generalized sidelobe 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.
İçerik tablosu
Contributors.
Preface.
1. Robust Minimum Variance Beamforming (R. Lorenz & S.
Boyd).
2. Robust Adaptive beamforming Based on Worst-Case Performance
Optimization (A. Gershman, et al.).
3. Robust Capon Beamforming (J. Li, et al.).
4. Diagonal Loading for Finite Sample Size Beamforming: An
Asymptotic Approach (X. Mestre & M. Lagunas).
5. Mean-Squared Error Beamforming for Signal Estimation: A
Competitive Approach (Y. Eldar & A. Nehorai).
6. Constant Modulus Beamforming (A. van der Veen & A.
Leshem).
7. Robust Wideband Beamforming (E. Di Claudio & R.
Parisi).
Index.
Yazar hakkında
JIAN LI, Ph D, is Professor and Director of the Spectral Analysis
Laboratory of the Department of Electrical and Computer Engineering
at the University of Florida. She has coedited one book, coauthored
one book and two book chapters, and published approximately 250
refereed technical conference contributions and journal papers,
many of which are on topics related to array signal processing.
PETRE STOICA, Ph D, is Professor of System Modeling in the
Department of Systems and Control at Uppsala University, Sweden. He
has coedited two books, coauthored nine books, and published
approximately 500 refereed technical conference contributions and
journal papers, many of which are on topics related to array signal
processing.
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