CLC number: TN911
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-05-07
Cited: 2
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Michaelraj Kingston Roberts, Ramesh Jayabalan. An improved low-complexity sum-product decoding algorithm for low-density parity-check codes[J]. Frontiers of Information Technology & Electronic Engineering, 2015, 16(6): 511-518.
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author="Michaelraj Kingston Roberts, Ramesh Jayabalan",
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pages="511-518",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1400269"
}
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DOI - 10.1631/FITEE.1400269
Abstract: In this paper, an improved low-complexity sum-product decoding algorithm is presented for low-density parity-check (LDPC) codes. In the proposed algorithm, reduction in computational complexity is achieved by utilizing fast Fourier transform (FFT) with time shift in the check node process. The improvement in the decoding performance is achieved by utilizing an optimized integer constant in the variable node process. Simulation results show that the proposed algorithm achieves an overall coding gain improvement ranging from 0.04 to 0.46 dB. Moreover, when compared with the sum-product algorithm (SPA), the proposed decoding algorithm can achieve a reduction of 42%–67% of the total number of arithmetic operations required for the decoding process.
The authors have proposed an interesting modification to the LDPC decoding algorithm to reduce the implementation complexity. Overall the paper is well written and structured.
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Open peer comments: Debate/Discuss/Question/Opinion
<1>
Stylianos Papaharalabos@National Observatory of Athens, Greece<spapaha@noa.gr>
2015-06-10 15:11:25
Very interesting paper. It would be useful in future research works in this field. I am not aware thought, if this idea has been published already by the same or other authors in any of IEEE journals.