Information Theory and Reliable Communication
Information Theory and Reliable Communication
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing)
Near constant envelope trellis shaping for PSK signaling
IEEE Transactions on Communications
Constellation Shaping for Bandwidth-Efficient Turbo-Coded Modulation With Iterative Receiver
IEEE Transactions on Wireless Communications
Serial concatenation of interleaved codes: performance analysis, design, and iterative decoding
IEEE Transactions on Information Theory
Multilevel codes: theoretical concepts and practical design rules
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Coded modulation using superimposed binary codes
IEEE Transactions on Information Theory
Matched information rate codes for Partial response channels
IEEE Transactions on Information Theory
Simulation-Based Computation of Information Rates for Channels With Memory
IEEE Transactions on Information Theory
The capacity of average and peak-power-limited quadrature Gaussian channels
IEEE Transactions on Information Theory
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Trellis shaping (TS) has found its application in the peak power control of band-limited single-carrier signals. Our recent work has demonstrated that a well-designed TS can control the symbol transitions such that the output signal has almost constant envelope, which significantly alleviates the linearity requirement of power amplifiers. Compared to transmission without constellation shaping, however, the TS involves signal constellation expansion exclusively for peak power control. Therefore, unlike trellis coded modulation (TCM) that increases the minimum Euclidean distances (MED), the TS decreases the MED, thus incurring the increase in signal-to-noise power ratio (SNR) required for achieving a certain error rate. In this letter, in order to overcome this drawback, we propose a serial concatenation of coding and shaping together with an effective decoding algorithm that utilizes the memory effect (i.e., error correcting capability) of the shaped symbols. The achievable performance of the proposed system is analyzed in terms of the average mutual information. The simulation results demonstrate that the iterative decoding of the proposed concatenated system with outer convolutional codes and inner trellis shaping offers a significant performance gain.