Robust Signal Processing for Wireless Communications

Name: Robust Signal Processing for Wireless Communications
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783642093579
Price: 38497 HUF
Availability: InStock

Szerző: Frank Dietrich

Nyelv:

Kötés: Puha kötésű

Kiadó: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

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This book treats the robust design of signal processing algorithms for wireless communications which...

Információk a könyvről

Szerző

Frank Dietrich

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2010

oldal

280

EAN

9783642093579

ISBN

3642093574

Enbook ID

05281170

Kiadó

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Súly

450

Méretek

155 x 235 x 16

Teljes leírás

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) 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.

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Robust Signal Processing for Wireless Communications

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