article · IEEE Transactions on Information Theory · 2007
TS-LDPC Codes: Turbo-Structured Codes With Large Girth
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Abstract
We consider turbo-structured low-density parity-check (TS-LDPC) codes-structured regular codes whose Tanner graph is composed of two trees connected by an interleaver. TS-LDPC codes with good girth properties are easy to construct: careful design of the interleaver component prevents short cycles of any desired length in its Tanner graph. We present algorithms to construct TS-LDPC codes with arbitrary column weight jges2 and row weight k and arbitrary girth g. We develop a linear complexity encoding algorithm for a type of TS-LDPC codes-encoding friendly TS-LDPC (EFTS-LDPC) codes. Simulation results demonstrate that the bit-error rate (BER) performance at low signal-to-noise ratio (SNR) is competitive with the error performance of random LDPC codes of the same size, with better error floor properties at high SNR
Cite this paper
Lu, J., & Moura, J. M. F. (2007). TS-LDPC Codes: Turbo-Structured Codes With Large Girth. IEEE Transactions on Information Theory, 53(3), 1080–1094. https://doi.org/10.1109/tit.2006.890690
Lu, Jin, and José M. F. Moura. “TS-LDPC Codes: Turbo-Structured Codes With Large Girth.” IEEE Transactions on Information Theory, vol. 53, no. 3, 2007, pp. 1080–94, https://doi.org/10.1109/tit.2006.890690.
Lu, Jin, and José M. F. Moura. 2007. “TS-LDPC Codes: Turbo-Structured Codes With Large Girth.” IEEE Transactions on Information Theory 53 (3): 1080–94. https://doi.org/10.1109/tit.2006.890690.
Lu, J. and Moura, J.M.F. (2007) ‘TS-LDPC Codes: Turbo-Structured Codes With Large Girth’, IEEE Transactions on Information Theory, 53(3), pp. 1080–1094. Available at: https://doi.org/10.1109/tit.2006.890690.
@article{lu2007ldpc,
title = {{TS-LDPC Codes: Turbo-Structured Codes With Large Girth}},
author = {Lu, Jin and Moura, José M. F.},
journal = {IEEE Transactions on Information Theory},
volume = {53},
number = {3},
pages = {1080--1094},
year = {2007},
doi = {10.1109/tit.2006.890690}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.