Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded Tdma, Cdma, and Ofdm Systems
Choong Hin Wong, Lajos Hanzo, C. H. WongBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
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
Synopsis
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
Booknews
Focusing on the TDMA, CDMA, and OFDM systems, this book provides an overview of near-instantaneously adaptive transceivers. It describes their capabilities, especially in relation to channel quality fluctuations. Particular attention is paid to the use of neural network based equalization. Complexity and performance trade-offs are considered. The authors are affiliated with the University of Southampton and a private communications company. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Editorials
From the Publisher
"...provides an overview of near-instantaneously adaptive transceivers." (SciTech Book News, Vol. 26, No. 2, June 2002)
Focusing on the TDMA, CDMA, and OFDM systems, this book provides an overview of near-instantaneously adaptive transceivers. It describes their capabilities, especially in relation to channel quality fluctuations. Particular attention is paid to the use of neural network based equalization. Complexity and performance trade-offs are considered. The authors are affiliated with the University of Southampton and a private communications company. Annotation c. Book News, Inc., Portland, OR (booknews.com)