By L. Hanzo, C. H. Wong, M. S. Yee(auth.)
Adaptive instant Transceivers offers the reader with a wide evaluation of near-instantaneously adaptive transceivers within the context of TDMA, CDMA and OFDM platforms. 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 able to mitigating the channel caliber fluctuations of the instant channel as a lower-complexity replacement to space-time coding. in contrast, if the better complexity of a number of transmitters and a number of receiver-assisted structures is deemed applicable, some great benefits of adaptability erode.
- Provides an in-depth creation to channel equalisers and Kalman filtering and discusses the linked complexity as opposed to functionality trade-offs
- Introduces wideband near-instantaneously adaptive transceivers and experiences their functionality either with and with out rapid channel coding
- Describes easy methods to optimise adaptive modulation mode switching and highlights a number useful issues
- Introduces neural community established channel equalisers and discusses Radial foundation functionality (RBF) assisted equalisers embedded into adaptive modems supported by way of rapid channel coding and faster channel equalisation
- Employs the above adaptive ideas 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 practicing improvement engineers operating in instant communications will all locate this useful 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 useful 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 faster Codes (pages 417–452):
Chapter eleven RBF faster 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 proposals for extra examine (pages 639–651):
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Additional info for Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems
On the basis of their structures, the equalizers can be classified as linear or decision feedback equalizers. Each of these structures will be discussed at a later stagewith more emphasis on the Decision Feedback Equalizer (DFE). Equalizers can also be distinguished on the basis of the criterion used to optimise their coefficients. The optimization is governed by the performance criteria used. For example, when applying the mean square error criterion (MSE), the equalizer is optimised such that the mean squared error between the distorted signal and the actual transmitted signalis minimized.
COHERENT DEMODULATION OF SOUARE-OAM 25 Following the approach outlined by Hanzo et al. 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.
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 ) .
Adaptive Wireless Transceivers: Turbo-Coded, Turbo-Equalized and Space-Time Coded TDMA, CDMA and OFDM Systems by L. Hanzo, C. H. Wong, M. S. Yee(auth.)