NDLI: Decoding with a-priori information: Analysis and codes’ design criteria

Content Provider	IEEE Xplore Digital Library
Author	Abrardo, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Eng., Univ. of Siena, Siena (Abrardo, A.)
Abstract	An analytical framework for evaluating the performance of decoding in presence of a-priori is provided. It is shown that a "good code", i.e., a code which allows to fully exploit the potential benefit of a-priori information, must be characterized by both a high minimum Hamming weight and a high minimum information weight. This is a completely novel result which may help the design of good channel codes in presence of a- priori information. Basing on the proposed analysis, we derive a measure of the performance gain due to a-priori information that can be obtained by random codes with infinite length. It is then shown that turbo codes with very long interleavers approach the behavior of random codes. Finally, an effective joint source-channel decoding scheme is proposed in a wireless sensors network scenario where two nodes detect correlated sources and deliver them to a central collector.
Starting Page	1590
Ending Page	1595
File Size	563161
Page Count	6
File Format	PDF
ISBN	9781424416875
DOI	10.1109/ISCCSP.2008.4537481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-12
Publisher Place	Malta
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convolutional codes Design engineering Pairwise error probability Gain measurement Length measurement Turbo codes Performance analysis Hamming weight Iterative decoding Information analysis
Content Type	Text
Resource Type	Article

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