Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized by L. Hanzo, C. H. Wong, M. S. Yee(auth.)

By L. Hanzo, C. H. Wong, M. S. Yee(auth.)

Adaptive instant Transceivers offers the reader with a vast evaluate of near-instantaneously adaptive transceivers within the context of TDMA, CDMA and OFDM structures. The adaptive transceivers tested hire robust rapid formats, rapid equalisers and space-time formats, equipping the reader with a future-proof technological highway map. It demonstrates that adaptive transceivers are in a position to mitigating the channel caliber fluctuations of the instant channel as a lower-complexity substitute to space-time coding. against this, if the better complexity of a number of transmitters and a number of receiver-assisted platforms is deemed appropriate, some great benefits of adaptability erode.

  • Provides an in-depth advent to channel equalisers and Kalman filtering and discusses the linked complexity as opposed to functionality trade-offs
  • Introduces wideband near-instantaneously adaptive transceivers and reports their functionality either with and with out rapid channel coding
  • Describes the right way to optimise adaptive modulation mode switching and highlights a number sensible issues
  • Introduces neural community established channel equalisers and discusses Radial foundation functionality (RBF) assisted equalisers embedded into adaptive modems supported through rapid channel coding and faster channel equalisation
  • Employs the above adaptive rules additionally within the context of CDMA and OFDM transceivers and discusses the professionals and cons of space-time coding as opposed to adaptive modulation

Researchers, complex scholars and working towards improvement engineers operating in instant communications will all locate this necessary textual content an informative read.  Content:
Chapter 1 Prologue (pages 1–17):
Chapter 2 advent To Equalizers (pages 19–44):
Chapter three Adaptive Equalization (pages 45–79):
Chapter four Adaptive Modulation (pages 81–122):
Chapter five Turbo–Coded and Turbo–Equalised Wideband Adaptive Modulation (pages 123–190):
Chapter 6 Adaptive Modulation Mode Switching Optimization (pages 191–255): B. J. Choi and L. Hanzo
Chapter 7 functional concerns of Wideband AQAM (pages 257–296):
Chapter eight Neural community dependent Equalization (pages 297–383):
Chapter nine RBF?Equalized Adaptive Modulation (pages 385–415):
Chapter 10 RBF Equalization utilizing rapid Codes (pages 417–452):
Chapter eleven RBF rapid Equalization (pages 453–493):
Chapter 12 Burst?by?Burst Adaptive Multiuser Detection CDMA (pages 495–534): E. L. Kuan and L. Hanzo
Chapter thirteen Adaptive Multicarrier Modulation (pages 535–587): T. Keller and L. Hanzo
Chapter 14 Space?Time Trellis Coding as opposed to Adaptive Modulation (pages 589–637): T. H. Liew and L. Hanzo
Chapter 15 Conclusions and recommendations for additional study (pages 639–651):

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Additional resources for Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems

Example text

The equalizer consistsof 2N 1 coefficient or taps. The taps are labelled as C - - ( N - ~ ) 4C N - ~where , COis the central tapof the equalizer. The equalizerinput consists of past, present and futurereceived samples,(rk-l 4 r k - ( N P l ) ) , r k and ( T k f l -+ r k + ( ~ - l ) )respec, tively. The employment of both past and future inputs underlines the fact that the equalizer is designed to combat both theso-called pre-cursor IS1 and post-cursor IS1 introduced by the dispersive channel. The presence of past inputs also implies the non-causality of the linear equalizer.

47 was only valid for the optimum coefficients corresponding to the MMSE criterion. 3. BASIC EQUALIZER THEORY 37 equalizer. A frequency domain representationof the MSE provided a deeper appreciationof its behaviour. 6, we have: E ( f )= S ( f ) - m = S ( f ) P - H ( f ) C ( f ) l- N ( f ) C ( f ) .

3. The term - experimental - will be used throughout our discoursein the contextof results generated by computer simulation. In this section, the performance results of coherent QAM in a non-dispersive Gaussian channel were presented. In thenext section, the performance of the QAM modems in a Rayleigh flat fading environment is evaluated by assuming perfect channel estimation and the employmentof a matched filter at the receiver. 1 is presented and analysed in a Rayleigh flat fading environment [88].

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