Analysis and Performance of Iterative Source-Channel Decoding
نویسنده
چکیده
Analysis and Performance of Iterative Source-Channel Decoding Norbert Görtz Faculty of Engineering, University of Kiel, Kaiserstr. 2, 24143 Kiel / Germany Tel: +49 431 77572 406, Fax: +49 431 77572 403 E-mail: [email protected] Abstract: A new iterative source-channel decoding technique is proposed, which approximates optimal joint source-channel decoding for the channel-encoded quantizer indices of various source signals, that are transmitted in parallel. The algorithm is realized by two types of soft-in/soft-out decoders, which alternately utilize the channel-code and the source-code redundancies to compute and interchange extrinsic information on the databits within several iterations. After the last iteration the output signals of the receiver are computed by meansquare estimators, which exploit the approximately determined a-posteriori probabilities of the quantizer indices. : Joint Source-Channel Decoding, Iterative Decoding, APP-algorithm, Optimal Estimation
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