Optimal sequence estimation for convolutionally coded signals with binary digital modulation in ISI channels
✍ Scribed by Fuqin Xiong
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 752 KB
- Volume
- 332
- Category
- Article
- ISSN
- 0016-0032
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✦ Synopsis
Decoding convolutional codes with binary digital modulation in intersymbol inter-Jerence (ISI) channels is studied. The receiver structure is a whitened matched filter (WMF) whose transi[br function is determined by the ISI channel. Decoding t~f the output sequence can be per/brined in two steps or one step. The two-step decoding first decodes the ISI eorrupted coded sequence back to the ISljree coded sequence which is then decoded back to the uncoded message sequence. For one-step decoding, the entire encode~channe~receiver ,s3'stem is modeled as a new encoder with combined memory length o]" the memory lengths of the original encoder and the channel, and,followed by a weighted summation mapping Jkom the binary symbols to real number symbols. The weighting coeJficients are determined by the channel characteristic. In both two-step and one-step decoding, the Viterbi algorithm ( VA) is used to per/~rm the maximum likelihood decoding. Decoding error probability and complexity t~/'hoth methods are analyzed, simulated and compared.