tailieunhanh - Adaptive Wireless Tranceivers P15

Conclusions and Suggestions for Further Research In this brief chapter a summary of this monograph is presented and the corresponding conclusions that can be drawn are presented. This will be followed by a range of ideas set aside for futureresearch. Book SummaryandConclusions In Part I of this monograph initially the performance of the DFEwas analysed using multilevel modulation modes over static multi-path Gaussian channels, as shown in Figure . These discussionswere further developed in the context of a multi-path fading channel environment, where the recursive Kalman algorithm was invoked in order to track and equalize the received linearly distorted data, as evidenced. | Adaptive Wireless Tranceivers L. Hanzo . Wong . Yee Copyright 2002 John Wiley Sons Ltd ISBNs 0-470-84689-5 Hardback 0-470-84776-X Electronic Chapter 15 Conclusions and Suggestions for Further Research In this brief chapter a summary of this monograph is presented and the corresponding conclusions that can be drawn are presented. This will be followed by a range of ideas set aside for future research. Book Summary and Conclusions In Part I of this monograph initially the performance of the DFE was analysed using multilevel modulation modes over static multi-path Gaussian channels as shown in Figure . These discussions were further developed in the context of a multi-path fading channel environment where the recursive Kalman algorithm was invoked in order to track and equalize the received linearly distorted data as evidenced by Figure . Explicitly an adaptive CIR estimator and DFE were implemented in two different receiver structures as shown in Figure while their performances were compared in Figure . In this respect Structure 1 which utilized the adaptive CIR estimator provided a better performance when compared to that of Structure 2 which involved the adaptive DFE as evidenced by Table . Furthermore the complexity of Structure 2 was higher than that of Structure 1 which was studied in Section . However these experiments were conducted in a fast start-up environment where adaptation was restricted to the duration of the training sequence length. By contrast if the adaptation was invoked over the entire transmission frame using a decision directed scheme the complexity advantage of Structure 1 was eroded as discussed in Section . The application of these fast adapting and accurate CIR estimators was crucial in a wideband AQAM scheme where the CIR variation across the transmission frame was slow. In these experiments valuable insights were obtained with regards to the design of the equalizer and to the characteristics of the .