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Название: LDPC Coded Modulatio
Авторы: Franceschini M., Ferrari G., Raheli R.
In this book, we will explore the world of LDPC coded modulations intended as a means for using binary LDPC codes for obtaining close-to-capacity performance over generic communication channels. In Chapter 1, we introduce some basic concepts which will be useful in the remainder of the book. In par ticular, we give a short survey of important concepts, such as mathematical modeling of a communication system, modulation and channel coding, together with a short and self-contained introduction to information theory. In Chapter 2, trellis-based detection strategies for modulations and coded modulation schemes are introduced. These will be basic component blocks of LDPC coded modulations. In Chapter 3, we introduce LDPC codes, describing their structure, representation, best known decoding schemes and encoding techniques. In Chapter 4, we introduce and discuss the most relevant performance analysis techniques for assessing the performance of iterative receivers and their component blocks. In particular, we focus on Monte Carlo methods and extrinsic information transfer (EXIT) charts. In Chapter 5, we introduce the concept of LDPC coded modulations and describe how to apply EXIT charts to analyze their performance. We discuss optimization of LDPC codes for LDPC coded modulations considering some relevant optimization targets such as best power eﬃciency, minimum number of decoding iterations, and minimum bit error rate (BER). As a particularly relevant case study, we consider code optimization for partial response channels. In Chapter 6, we consider LDPC codes for memoryless channels and the implications of the adopted analysis technique on the structure of LDPC codes in a few interesting cases. The results, which demonstrate a low dependence of optimized LDPC codes on the particular memoryless channel, are used to devise a method for designing multilevel coding schemes using a database of LDPC codes. In Chapter 7, we apply the code design techniques described in Chapter 5 to phase-uncertain communication channels considering LDPC coded diﬀerential modulations and obtaining insights on the optimized LDPC code structure. We also describe a low-complexity detection strategy particularly suited for use in an LDPC coded modulation system. In Chapter 8, we draw some ﬁnal remarks.