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Chapter 7: Equalization, Diversity, and Channel Coding

Chapter 7: Equalization, Diversity, and Channel Coding

pp. 355-414

Authors

, New York University
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Extract

Chapter 7 provides fundamental treatment of channel equalization, antenna diversity combining methodologies, and error correction/control codes used in modern wireless communication systems. Both linear and non-linear equalizers are presented, along with the most popular feedback algorithms for equalizer training and practical operation, such as zero-forcing (ZF), least mean squares (LMS), and recursive least squares (RLS). These algorithms are applied to the Decision Feedback Equalizer (DFE) and the Maximum Likelihood Sequence Estimation (MLSE) equalizer structure.Antenna diversity combining methodsfor Rayleigh small-scale fading channels show the theoretical increase in signal-to-noise ratio (SNR) for a wide range of antenna combining and diversity methods used in today's wireless systems. The RAKE receiver for Code Division Multiple Access and spread spectrum is also studied. Finally, practical error control codes, such as block codes and convolutional codes, used in today's cellphone and wi-fi standards are presented and analyzed, along with interleaving methods and popular decoding algorithms such as the Viterbi algorithm. Trellis codes and turbo codes are presented, as well.

Keywords

  • adaptive equalizer
  • zero forcing algorithm
  • decision feedback estimation
  • maximum likelihood sequence estimation
  • Viterbi algorithm
  • block and convolutional codes
  • diversity combining
  • interleaver (interleaving)
  • maximum ratio combining
  • turbo codes

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