Wireless Communications Over Rapidly Time-Varying Channels

Szerző: Franz Hlawatsch, Gerald Matz

Nyelv:

Kötés: Puha kötésű

Kiadó: Elsevier Science & Technology

Elérhetőség: 50 % esély

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33 994 Ft

As a result of higher frequencies and increased user mobility, researchers and systems designers are...

Információk a könyvről

Szerző

Franz Hlawatsch, Gerald Matz

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2011

oldal

456

EAN

9780323165792

ISBN

0323165796

Enbook ID

14170780

Kiadó

Elsevier Science & Technology

Súly

650

Méretek

191 x 235 x 35

Teljes leírás

As a result of higher frequencies and increased user mobility, researchers and systems designers are shifting their focus from time-invariant models to channels that vary within a block. This book explains the latest theoretical advances and practical methods to give an understanding of rapidly time varying channels, together with performance trade-offs and potential performance gains, providing the expertise to develop future wireless systems technology. As well as an overview of the issues of developing wireless systems using time-varying channels, the book gives extensive coverage to methods for estimating and equalizing rapidly time-varying channels, including a discussion of training data optimization, as well as providing models and transceiver methods for time-varying ultra-wideband channels. *An introduction to time-varying channel models gives in a nutshell the important issues of developing wireless systems technology using time-varying channels*Extensive coverage of methods for estimating and equalizing rapidly time-varying channels, including a discussion of training data optimization, enables development of high performance wireless systems*Chapters on transceiver design for OFDM and receiver algorithms for MIMO communication channels over time-varying channels, with an emphasis on modern iterative turbo-style architectures, demonstrates how these important technologies can optimize future wireless systems

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Wireless Communications Over Rapidly Time-Varying Channels

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