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Improved Iterative Bit Flipping Decoding Algorithms for LDPC Convolutional Codes

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3 Author(s)

A new class of iterative bit flipping (BF) decoding algorithms adapted for low-density parity check (LDPC) convolutional codes is proposed. Compared with Gallager's original BF algorithm, the new BF algorithms improve both the coding gain and the error correction speed. At a bit error rate (BER) of 10 , the best of the new bit-flipping algorithms achieves, after only 6 iterations and with much simpler decoding hardware, a coding gain within 3.5 dB of that of the conventional min-sum belief propagation decoding algorithm.

Published in:

Communications, Computers and Signal Processing, 2007. PacRim 2007. IEEE Pacific Rim Conference on

Date of Conference:

22-24 Aug. 2007