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  4. Design of the BCJR decoding algorithm with reduced space complexity
Details

Design of the BCJR decoding algorithm with reduced space complexity

Journal
2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Date Issued
2015-05
Author(s)
DOI
10.1109/mipro.2015.7160340
Abstract
Given an M-state (recursive) convolutional encoder, we show that, in theory, computing the forward alpha probabilities of the BCJR decoding algorithm can be done with 2M memory elements. Building on this idea we propose new design with reduced space complexity for the original BCJR algorithm. Initial experiments with rate-1/2 1025-bit-long Turbo Codes show possibility for compressing the size of memory for the alpha probabilities for about 97%.
Subjects

Decoding

Space Complexity

Convolutional Encoder...

Cylindrical

System Of Equations

Time Complexity

Types Of Errors

Butterfly

Probability Function

System Of Linear Equa...

Probability Calculati...

Information Bits

Maximum A Posteriori

Codeword

Forward Calculation

Posteriori Probabilit...

Memory Reduction

Error Cancellation

Convolutional Codes

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