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A Low-Complexity Decoder for Turbo Product Codes Based on Extended Hamming Codes

Authors: Yaqi Wang; Jun Lin; Zhongfeng Wang;

A Low-Complexity Decoder for Turbo Product Codes Based on Extended Hamming Codes

Abstract

In this paper, a modified low-complexity Chase-II decoding algorithm for Turbo product codes(TPCs) and the corresponding hardware architecture are proposed. The proposed decoding algorithm is based on a low-complexity Fast Chase algorithm proposed in [1]. To further reduce the computational complexity, the number of the candidate codewords used to generate the extrinsic information is reduced to 2, and a new low-complexity method of calculating the extrinsic information is proposed. The proposed algorithm saves 44% real additions. The numerical simulation results show that the proposed algorithm has negligible performance loss if the component codes of TPCs are hamming codes. Moreover, an efficient hardware architecture for a $(128,120)^{2}$ extended Hamming turbo product code is also proposed. The proposed decoder is synthesised under the TSMC 90-nm CMOS technology. The synthesised results show that the proposed decoder reaches a 10.5 Gbps throughput with an area of 1.7 Mgates.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Average
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