Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalised and Space-Time Coded TDMA, CDMA and OFDM Systems
Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalised and Space-Time Coded TDMA, CDMA and OFDM Systems
Adaptive Wireless Transceivers provides the reader with a broad overview of near-instantaneously adaptive transceivers in the context of TDMA, CDMA and OFDM systems. The adaptive transceivers examined employ powerful turbo codecs, turbo equalisers and space-time codecs, equipping the reader with a future-proof technological road map. It demonstrates that adaptive transceivers are capable of mitigating the channel quality fluctuations of the wireless channel as a lower-complexity alternative to space-time coding. By contrast, if the higher complexity of multiple transmitters and multiple receiver-assisted systems is deemed acceptable, the advantages of adaptability erode. • Provides an in-depth introduction to channel equalisers and Kalman filtering and discusses the associated complexity versus performance trade-offs • Introduces wideband near-instantaneously adaptive transceivers and studies their performance both with and without turbo channel coding • Describes how to optimise adaptive modulation mode switching and highlights a range of practical considerations • Introduces neural network based channel equalisers and discusses Radial Basis Function (RBF) assisted equalisers embedded into adaptive modems supported by turbo channel coding and turbo channel equalisation • Employs the above adaptive principles also in the context of CDMA and OFDM transceivers and discusses the pros and cons of space-time coding versus adaptive modulation Researchers, advanced students and practising development engineers working in wireless communications will all find this valuable text an informative read.
0-470-84689-5
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wong, C.H.
a69b576c-83a9-478a-b3dd-abac7bbbe7a6
Yee, M.S.
cc253102-2741-4359-9806-3f919e717b51
March 2002
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Wong, C.H.
a69b576c-83a9-478a-b3dd-abac7bbbe7a6
Yee, M.S.
cc253102-2741-4359-9806-3f919e717b51
Hanzo, L., Wong, C.H. and Yee, M.S.
(2002)
Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalised and Space-Time Coded TDMA, CDMA and OFDM Systems
,
John Wiley & Sons Ltd.
Abstract
Adaptive Wireless Transceivers provides the reader with a broad overview of near-instantaneously adaptive transceivers in the context of TDMA, CDMA and OFDM systems. The adaptive transceivers examined employ powerful turbo codecs, turbo equalisers and space-time codecs, equipping the reader with a future-proof technological road map. It demonstrates that adaptive transceivers are capable of mitigating the channel quality fluctuations of the wireless channel as a lower-complexity alternative to space-time coding. By contrast, if the higher complexity of multiple transmitters and multiple receiver-assisted systems is deemed acceptable, the advantages of adaptability erode. • Provides an in-depth introduction to channel equalisers and Kalman filtering and discusses the associated complexity versus performance trade-offs • Introduces wideband near-instantaneously adaptive transceivers and studies their performance both with and without turbo channel coding • Describes how to optimise adaptive modulation mode switching and highlights a range of practical considerations • Introduces neural network based channel equalisers and discusses Radial Basis Function (RBF) assisted equalisers embedded into adaptive modems supported by turbo channel coding and turbo channel equalisation • Employs the above adaptive principles also in the context of CDMA and OFDM transceivers and discusses the pros and cons of space-time coding versus adaptive modulation Researchers, advanced students and practising development engineers working in wireless communications will all find this valuable text an informative read.
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Adaptive-table_of_contents.pdf
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Adaptive_Chaps_4,11.pdf
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More information
Published date: March 2002
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 258253
URI: http://eprints.soton.ac.uk/id/eprint/258253
ISBN: 0-470-84689-5
PURE UUID: 75550216-9bd9-4453-85b0-9b5a0be2f0c7
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Date deposited: 04 Dec 2003
Last modified: 18 Mar 2024 02:33
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Contributors
Author:
L. Hanzo
Author:
C.H. Wong
Author:
M.S. Yee
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