TAILIEUCHUNG - Digital communication receivers P14

Parameter Synchronization for Flat Fading Channels In Chapters 14 and 15, important aspects of digital receiver synchronization for fading channels are discussed. The two sections of Chapter 14 concentrate on linear sync parameter estimation for the flat fading case, ., flat fading channel estimation. The derivation of many of the algorithms presented here draws from the ideas and results of Chapter 12. However, while the optimal algorithms of Chapter 12 are, in most situations of interest, far too complex to realize, we shall now turn our attention to reduced-complexity yet close-to-optimal synchronizer structures and algorithms that can actually be implemented using. | Digital Communication Receivers Synchronization Channel Estimation and Signal Processing Heinrich Meyr Marc Moeneclaey Stefan A. Fechtel Copyright 1998 John Wiley Sons Inc. Print ISBN 0-471-50275-8 Online ISBN 0-471-20057-3 Chapter 14 ParameterSyncHironizati on for Flat Fading Channels In Chapters 14 and 15 important aspects of digital receiver synchronization for fading channels are discussed. The two sections of Chapter 14 concentrate on linear sync parameter estimation for the flat fading case . flat fading channel estimation. The derivation of many of the algorithms presented here draws from the ideas and results of Chapter 12. However while the optimal algorithms of Chapter 12 are in most situations of interest far too complex to realize we shall now turn our attention to reduced-complexity yet close-to-optimal synchronizer structures and algorithms that can actually be implemented using today s DSP or ASIC technology. Non-Data-Aided NDA Flat Fading Channel Estimation and Detection In this section data detection on flat fading channels without the aid of known training symbols is investigated in more detail. Following again the concept of synchronized detection Chapter 12 we consider estimation-detection type of receivers with online one-step channel prediction Chapter 13 which are simplified in a systematic way so as to arrive at realizable receivers. In the next two sections optimal and near-optimal methods for NDA one-step channel prediction are discussed in detail. Finally suboptimal but simple decision-directed DD channel estimation and symbol detection is investigated. Optimal One-Step Channel Prediction In Section the one-step predictor estimate cfc of the flat fading channel gain Cjt has been identified as the sync parameter necessary for metric computation eq. 13-12 in NDA synchronized detection. The optimal channel predictor estimate is given by the conditional expected value cjfe zfc_i a _i 14-1 given the past observation z -i .

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