Optimized Trellis-Based Min-Max Decoder for NB-LDPC Codes

Tian, Jing; Song, Suwen; Lin, Jun; Wang, Zhongfeng

doi:10.1109/tcsii.2019.2900088

Cited by 10 publications

(1 citation statement)

References 15 publications

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“…Various algorithms and corresponding efficient architectures have been subsequently proposed for NB-LDPC decoders [2]- [9], aiming to overcome the NB-LDPC decoder drawbacks by reducing the check node (CN) algorithm computational complexity. The layered decoding algorithm has good efficiency due to reduced memory requirements and increased decoding convergence rate.…”

Section: Introductionmentioning

confidence: 99%

High-Efficient Nonbinary LDPC Decoder with Early Layer Decoding Schedule

Pham

Lee

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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Increasing nonbinary low density parity check (NB-LDPC) decoder throughput is challenging. This paper considers nonbinary quasi-cyclic LDPC code features to propose an early layered decoding schedule. The proposed method can eliminate idle time introduced by emptying pipeline stages after each layered decoding process, as well as increase decoder throughput. Layout results using TSMC 90-nm CMOS technology confirm that the proposed decoding schedule improved throughput with almost the same hardware complexity compared to the state-ofthe-art NB-LDPC decoder. In particular, the proposed approach achieved considerably improved throughput and efficiency compared with predecessors when both early layer decoding schedule and early decoding termination were enabled.

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Section: Introductionmentioning

confidence: 99%

High-Efficient Nonbinary LDPC Decoder with Early Layer Decoding Schedule

Pham

Lee

2021

2021 IEEE International Symposium on Circuits and Systems (ISCAS)

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Medical data transmission using the product of TLDPC and BCH error control coding systems with two interleavers

Kamalakannan¹,

Kalpana

2020

Int J Communication

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SummaryMedical data are very precious since it has the most sensitive data of patient which can save them. If it is handled wrongly or it is manipulated, then it could result in permanent problems or even it can result in fatal. So medical data widely used in a digital format with error detection and correction codes (EDC) in its transmission and storage process. EDC is a method of adding redundant bits to the static message bits to enhance the reliability of binary digital data broadcast while the medical data communication medium adds the errors in the course of transmission. In the proposed method, we use Bose–Chaudhuri–Hocquenghem codes (BCH) as an outline algorithm and trellis Low‐Density Parity Check code (TLDPC) as an inner algorithm along with two interleavers. Product of BCH code and TLDPC code with interleavers can control more errors as compared with its plain code and product of RS‐Hamming code. MATLAB used as a simulation tool. Plain BCH code is simulated first, and then plain LDPC code is simulated for the same information. Finally, the product of BCH and TLDPC with two interleavers is imposed on the same information. The result of our research work shows enhancement in bit error rate (BER) compared to other plain and product codes from 10−2 to 10−3. Also, frame error rate (FER) is improved in 0.5 scaling factors when compared with other trellis decoders. Hence, this proposed system can be utilized in an application where less error rate and high accuracy of information transmission between medical data processing systems are required.

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Efficient Check Node Processing for Min-Max NB-LDPC Decoding over Lower-Order Finite Fields

Zhang

2022

2022 IEEE International Symposium on Circuits and Systems (ISCAS)

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Optimized Trellis-Based Min-Max Decoder for NB-LDPC Codes

Cited by 10 publications

References 15 publications

High-Efficient Nonbinary LDPC Decoder with Early Layer Decoding Schedule

High-Efficient Nonbinary LDPC Decoder with Early Layer Decoding Schedule

Medical data transmission using the product of TLDPC and BCH error control coding systems with two interleavers

Efficient Check Node Processing for Min-Max NB-LDPC Decoding over Lower-Order Finite Fields

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