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Modified SOVA-Based Turbo Decoding

Xiaofu Wu

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Abstract

Turbo codes are preferred for high rate data services in the third generation mobile communication system IMT-2000.Thus low decoding delay and low complexity iterative decoding are of paramount importance.The modiffied soft output Viterbi algorithm(SOVA)and the Max-Log-MAP algorithm are such decoding techniques.The equivalence of the modified SOVA and Max-Log-MAP algorithm has been proven under the condition of no a priori information and infinite decoding depth.Since the a priori information has to be updated in iterative decoding,we prove their equivalence when there exists a priori information in the paper.We also discuss the relationship between the sliding window Max-Log-MAP algorithm and the modified SOVA for finite decoding depth.

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What this paper is about

Turbo codes are preferred for high rate data services in the third generation mobile communication system IMT-2000.Thus low decoding delay and low complexity iterative decoding are of paramount importance.The modiffied soft output Viterbi algorithm(SOVA)and the Max-Log-MAP algorithm are such decoding techniques.The equivalence of the modified SOVA and Max-Log-MAP algorithm has been proven under the condition of no a priori information and infinite decoding depth.Since the a priori information has to be updated in iterative decoding,we prove their equivalence when there exists a priori information in the paper.We also discuss the relationship between the sliding window Max-Log-MAP algorithm and the modified SOVA for finite decoding depth.

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Available abstract

Turbo codes are preferred for high rate data services in the third generation mobile communication system IMT-2000.Thus low decoding delay and low complexity iterative decoding are of paramount importance.The modiffied soft output Viterbi algorithm(SOVA)and the Max-Log-MAP algorithm are such decoding techniques.The equivalence of the modified SOVA and Max-Log-MAP algorithm has been proven under the condition of no a priori information and infinite decoding depth.Since the a priori information has to be updated in iterative decoding,we prove their equivalence when there exists a priori information in the paper.We also discuss the relationship between the sliding window Max-Log-MAP algorithm and the modified SOVA for finite decoding depth.

Key concepts: Decoding methods, Viterbi algorithm, Iterative Viterbi decoding, Turbo code, Algorithm, Computer science, A priori and a posteriori, Sequential decoding

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