NDLI: Performance of low density parity check (LDPC) codes with bootstrap decoding algorithm on a fast fading channel

Content Provider	IEEE Xplore Digital Library
Author	Inaba, Y. Ohtsuki, T.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. Eng., Tokyo Univ. of Sci., Chiba, Japan (Inaba, Y.)
Abstract	Low density parity check (LDPC) codes can be decoded in various ways, namely the bit-flipping (BF) algorithm, the weighted BF (WBF) algorithm and the log-likelihood ratio belief propagation (LLR-BP) algorithm, and so on. These algorithms provide a wide range of tradeoffs among decoding complexity, decoding speed, and error rate performance. Recently, the bootstrapped WBF (BWBF) algorithm has been proposed to improve the error rate performance and the decoding complexity of the WBF algorithm. In this paper, we study the effects of the predetermined threshold /spl alpha/ of the bootstrap step on BER for various LDPC codes. Furthermore, we apply the bootstrap step to the LLR-BP algorithm. We evaluate the BWBF and the bootstrapped LLR-BP (B-LLR-BP) algorithms on a fast fading channel. We show that the optimal threshold depends on the row and column weights of the LDPC codes. We also show that the BWBF algorithm provides a large improvements in both the error rate performance and the decoding complexity on a fast fading channel. Moreover, we show that the LLR-BP algorithm hardly receives the effect of the bootstrap step.
Starting Page	333
Ending Page	337
File Size	336378
Page Count	5
File Format	PDF
ISBN	0780382552
ISSN	15502252
DOI	10.1109/VETECS.2004.1387969
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-05-17
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parity check codes Decoding Fading Error analysis Belief propagation AWGN channels Bit error rate Binary phase shift keying Modulation coding Random variables
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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