Title :
Iterative joint source-channel decoding with combined a priori information of source and channel
Author :
Liu, Xiaobei ; Koh, Soo Ngee
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
4/1/2005 12:00:00 AM
Abstract :
A joint source-channel decoding (JSCD) scheme which exploits the combined a priori information of source and channel in an iterative manner is proposed. A sequence minimum mean-square error (SMMSE) estimator based on bit or symbol error transition probability of the channel with memory is proposed and used in the iterative decoding process. Simulation results show that our proposed scheme leads to significant improvement over the scheme without using the a priori information of the source or channel.
Keywords :
Markov processes; combined source-channel coding; error statistics; iterative decoding; least mean squares methods; maximum likelihood decoding; maximum likelihood sequence estimation; telecommunication channels; Gilbert channel; JSCD; SMMSE; a priori information; bit error transition probability; finite-state Markov channel; iterative manner; joint source-channel decoding scheme; sequence minimum mean-square error estimator; symbol error transition probability; AWGN channels; Bit error rate; Distortion; Fading; Frequency; Iterative decoding; Probability; Redundancy; State estimation; Statistics;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.1413632