Distributed Source-Channel Coding Using Reduced-Complexity Syndrome-Based TTCM

In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability pe of the binary symmetric channel, which models the correlation between a pair of sources. Ou...

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Vydáno v:IEEE communications letters Ročník 20; číslo 10; s. 2095 - 2098
Hlavní autoři: Aljohani, Abdullah, Babar, Zunaira, Soon Xin Ng, Hanzo, Lajos
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Complexity theory
Correlation
Decoding
Distributed joint source-channel coding
distributed source coding
Encoding
Fading channels
Modulation
Multiuser detection
Slepian-Wolf coding
syndrome decoding
turbo trellis coded modulation
ISSN:1089-7798, 1558-2558
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Shrnutí:In the context of distributed joint source-channel coding, we conceive reduced-complexity turbo trellis coded modulation (TTCM)-aided syndrome-based block decoding for estimating the cross-over probability pe of the binary symmetric channel, which models the correlation between a pair of sources. Our joint decoder achieves an accurate correlation estimation for varying correlation coefficients at 3 dB lower SNR, than conventional TTCM decoder, despite its considerable complexity reduction.
Bibliografie:ObjectType-Article-1
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2016.2584598