Li / Stoica Robust Adaptive Beamforming

1. Auflage 2005
ISBN: 978-0-471-73346-1
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 440 Seiten, E-Book

Reihe: Wiley Series in Telecommunications and Signal Processing

The latest research and developments in robust adaptivebeamforming
Recent work has made great strides toward devising robust adaptivebeamformers that vastly improve signal strength against backgroundnoise and directional interference. This dynamic technology hasdiverse applications, including radar, sonar, acoustics, astronomy,seismology, communications, and medical imaging. There are alsoexciting emerging applications such as smart antennas for wirelesscommunications, handheld ultrasound imaging systems, anddirectional hearing aids.
Robust Adaptive Beamforming compiles the theories and work ofleading researchers investigating various approaches in onecomprehensive volume. Unlike previous efforts, these pioneeringstudies are based on theories that use an uncertainty set of thearray steering vector. The researchers define their theories,explain their methodologies, and present their conclusions. Methodspresented include:
* Coupling the standard Capon beamformers with a spherical orellipsoidal 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 beamformerto adapt the weight vector within a generalized sidelobe cancellerformulation
Robust Adaptive Beamforming provides a truly up-to-date resourceand reference for engineers, researchers, and graduate students inthis promising, rapidly expanding field.

Autoren/Hrsg.

Li, Jian

Stoica, Petre

Inhaltsverzeichnis

Contributors.
Preface.
1. Robust Minimum Variance Beamforming (R. Lorenz & S.Boyd).
2. Robust Adaptive beamforming Based on Worst-Case PerformanceOptimization (A. Gershman, et al.).
3. Robust Capon Beamforming (J. Li, et al.).
4. Diagonal Loading for Finite Sample Size Beamforming: AnAsymptotic Approach (X. Mestre & M. Lagunas).
5. Mean-Squared Error Beamforming for Signal Estimation: ACompetitive 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.

Über Autor(innen)

JIAN LI, PhD, is Professor and Director of the Spectral AnalysisLaboratory of the Department of Electrical and Computer Engineeringat the University of Florida. She has coedited one book, coauthoredone book and two book chapters, and published approximately 250refereed technical conference contributions and journal papers,many of which are on topics related to array signal processing.
PETRE STOICA, PhD, is Professor of System Modeling in theDepartment of Systems and Control at Uppsala University, Sweden. Hehas coedited two books, coauthored nine books, and publishedapproximately 500 refereed technical conference contributions andjournal papers, many of which are on topics related to array signalprocessing.