Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Precoding and Signal Shaping for Digital Transmission
Precoding and Signal Shaping for Digital Transmission
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Superposition coded modulation with peak-power limitation
IEEE Transactions on Information Theory
Bit-interleaved coded modulation
IEEE Transactions on Information Theory
Modulation and coding for linear Gaussian channels
IEEE Transactions on Information Theory
Coded modulation using superimposed binary codes
IEEE Transactions on Information Theory
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Superposition mapping (SM) is a modulation technique which loads bit tuples onto data symbols simply via linear superposition. Since the resulting data symbols are often Gaussian-like, SM has a good theoretical potential to approach the capacity of Gaussian channels. On the other hand, the symbol constellation is typically nonbijective and its characteristic is very different from that of conventional mapping schemes like QAM or PSK. As a result, its behavior is also quite different from conventional mapping schemes, particularly when applied in the framework of bit-interleaved coded modulation. In this paper, a comprehensive analysis is provided for SM, with particular focus on aspects related to iterative processing.