TCM Decoding Using Neural Networks
نویسندگان
چکیده
This paper presents a neural decoder for trellis coded modulation (TCM) schemes. Decoding is performed with Radial Basis Function Networks and Multi-Layer Perceptrons. The neural decoder effectively implements an adaptive Viterbi algorithm for TCM which learns communication channel imperfections. The implementation and performance of the neural decoder for trellis encoded 16-QAM with amplitude imbalance are analyzed. r 2003 Elsevier Ltd. All rights reserved. PACS: 07.05.Mh; MSC 98B12; MSC 98B35
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