Robust Signal Processing for Wireless Communications

Frank Dietrich

ISBN 10: 3540742468 / ISBN 13: 9783540742463

Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007

Beschreibung

Neuware - Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.In this book, a systematic treatment of this practical design problem is provided for signal processing in the physical layer with multiple antennas. The design of robust signal processing algorithms is based on a description of the errors and the uncertainties in the system's model. It applies principles of modern estimation, optimization, and information theory. Tutorial introductions to relevant literature and mathematical foundations give the necessary background and context to the reader.The book provides detailed derivations and enlightening insights into the related technical problems covering the following topics in detail: An overview of the principles of training-based multiple-input multiple-output (MIMO) channel estimation. Robust minimax estimation of the wireless communication channel. Robust minimax prediction of the wireless communication channel based on the maximum Doppler frequency. Identification of channel and noise correlations (power delay profile, spatial and temporal correlations, spatial correlations of interference). Interpolation of band-limited autocovariance sequences. Robust linear and nonlinear precoding for the multi-user downlink with multiple antennas which is based on incomplete channel state information or channel correlations (performance measures, duality, robust Tomlinson-Harashima precoding, robust vector precoding, nonlinear beamforming).

Bestandsnummer des Verkäufers 9783540742463

Bibliografische Details

• Titel: Robust Signal Processing for Wireless Communications
• Verlag: Springer, Berlin, Springer Berlin Heidelberg, Springer
• Erscheinungsjahr: 2007
• Sprache: Englisch
• ISBN-10: 3540742468
• ISBN-13: 9783540742463
• Einband: Buch
• Zustand: Neu
• Abmessungen: 235B x 165 H x 25 T Millimeter Breite: 235 mm, Höhe: 165 mm, Tiefe: 25 mm
• Gewicht: 591 Gramm

Über diesen Titel

Inhaltsangabe

Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors. In this book, a systematic treatment of this practical design problem is provided.

Von der hinteren Coverseite

This book treats the robust design of signal processing algorithms for wireless communications which are based on an incomplete model of the propagation channel. The systematic treatment of this practical problem focuses on signal processing tasks in the physical layer with multiple antennas and relies on a description of the errors and uncertainties in the system's model. It applies principles of modern estimation, optimization, and information theory. Tutorial introductions to relevant literature and mathematical foundations provide the necessary background and context to the reader. The book contains detailed derivations and enlightening insights covering the following topics in detail:

• Training-based multiple-input multiple-output (MIMO) channel estimation
• Robust minimax estimation of the wireless communication channel
• Robust minimax prediction of the wireless communication channel based on the maximum Doppler frequency
• Identification of channel and noise correlations (power delay profile, spatial and temporal correlations, spatial correlations of interference)
• Interpolation of band-limited autocovariance sequences
• Robust linear and nonlinear precoding for the multi-user downlink with multiple antennas, which is based on incomplete channel state information or channel correlations (performance measures, duality, robust Tomlinson-Harashima precoding, nonlinear beamforming)