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TELKOMNIKA (Telecommunication Computing Electronics and Control)

Non-binary LDPC Decoder Design over Rayleigh Channel for FPGA Implementation

Zhongxun Wang, Juan Hui

Published Dec 1, 2016• 1 citation
Publisher

Abstract

This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index Low Density Parity Check Code（LDPC） is a kind of linear block codes based on sparse check matrix. As a kind of channel coding, whose error performance approach Shannon limits, it has better error correction capability, more flexible structure and lower decoding complexity. Currently most of the LDPC code researches are on the premise of the AWGN channel and BSC channel, which mainly in the range of the binary LDPC codes. According to the above problem, this paper analyzes the various decoding performance of non-binary LDPC codes in Rayleigh channel, and realizes a non-binary LDPC decoder in Rayleigh channel through the FPGA design. The paper begins with an overall discussion of issues surrounding the use of non-binary LDPC codes. And then the bit-error-rate (BER) performances of different non-binary LDPC codes decoding algorithm are compared on the independent Rayleigh fading channel. Finally, this decoder design is implemented based on 5CSEMA5F31C6 FPGA (devised by Altera Company) to illustrate the concepts discussed in the paper.

DOI
10.12928/telkomnika.v14i4.4157

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This paper is under in-depth investigation due to suspicion of possible plagiarism on a high similarity index Low Density Parity Check Code（LDPC） is a kind of linear block codes based on sparse check matrix. As a kind of channel coding, whose error performance approach Shannon limits, it has better error correction capability, more flexible structure and lower decoding complexity. Currently most of the LDPC code researches are on the premise of the AWGN channel and BSC channel, which mainly in the range of the binary LDPC codes. According to the above problem, this paper analyzes the various decoding performance of non-binary LDPC codes in Rayleigh channel, and realizes a non-binary LDPC decoder in Rayleigh channel through the FPGA design. The paper begins with an overall discussion of issues surrounding the use of non-binary LDPC codes. And then the bit-error-rate (BER) performances of different non-binary LDPC codes decoding algorithm are compared on the independent Rayleigh fading channel. Finally, this decoder design is implemented based on 5CSEMA5F31C6 FPGA (devised by Altera Company) to illustrate the concepts discussed in the paper.
Low density parity check (LDPC) code is a kind of linear block code with excellent performance which is proposed by Dr. Gallager. It overcomes the shortcomings of other error correcting codes and it is the nearest channel code from Shannon limit at the present discover. The decoding algorithms of L DPC code can reduce the decoding delay by the parallel decoding structure, so this has caused great concern in many fields. In recent years more and more scholars begin to study LDPC code, this makes the coding and decoding algorithms of LDPC code improved continuously. LDPC code has been widely used in many fields such as optical fiber communication, digital watermarking, underwater communication and deep space communication because of its excellent performance. Non-binary LDPC code has better performance compared with binary LDPC code. In this paper, FFT-BP decoding algorithm of non-binary LDPC code is studied, and on this basis, we proposed an improved FFT-BP algorithm. The improved decoding algorithm can effectively reduce the average iteration number. Finally, we achieved encode and decode algorithm of non-binary LDPC code with FPGA.
The non-binary Low Density Parity Check (LDPC) codes over Galois Fields GF(q = 2 p ) have evolved from the binary LDPC codes that are today an industry standard for channel coding. The performance of short block length codes is significantly higher for non-binary LDPC, at the cost of increased decoding complexity. The efficient decoder hardware implementation is still a challenging task. Most of the recently proposed hardware realizations are ASIC-oriented as they employ multiplierless computation units. This article concerns a different decoder design approach that is specifically intended for an FPGA implementation. The reformulated mixed-domain FFT-BP decoding algorithm is applied that does not exclude the multiplication units. This allows mapping a part of the algorithm to the multiplier cores embedded in an FPGA. In this article we concentrate on the important issue of the proper selection of the numeric precision employed. We present the partially parallel extension of the mixed-domain decoder that operates for the structured codes. Then we carefully analyze the finite precision effects on the decoding performance. By simulation and synthesis results we show that it is advantageous to segment the decoder dataflow into 3 parts with different precision. The provided results also facilitate the precision selection for maximum performance or for some performance- complexity tradeoff. Index Terms—Error correcting codes, LDPC codes, Non- binary codes, Iterative decoder, Hardware decoder
Binary Low-Density Parity-Check (LDPC) codes are a type of error correction code known to exhibit excellent error-correcting capabilities, and have increasingly been applied as the forward error correction solution in a multitude of systems and standards, such as wireless communications, wireline communications, and data storage systems. In the pursuit of codes with even higher coding gain, non-binary LDPC (NB-LDPC) codes defined over a Galois field of order q have risen as a strong replacement candidate. For codes defined with similar rate and length, NB-LDPC codes exhibit a significant coding gain improvement relative to that of their binary counterparts.Unfortunately, NB-LDPC codes are currently limited from practical application by the immense complexity of their decoding algorithms, because the improved error-rate performance of higher field orders comes at the cost of increasing decoding algorithm complexity. Currently available ASIC implementation solutions for NB-LDPC code decoders are simultaneously low in throughput and power-hungry, leading to a low energy efficiency.We propose several techniques at the algorithm level as well as hardware architecture level in an attempt to bring NB-LDPC codes closer to practical deployment. On the algorithm side, we propose several algorithmic modifications and analyze the corresponding hardware cost alleviation as well as impact on coding gain. We also study the quantization scheme for NB-LDPC decoders, again in the context of both the hardware and coding gain impacts, and we propose a technique that enables a good tradeoff in this space. On the hardware side, we develop a FPGA-based NB-LDPC decoder platform for architecture prototyping as well as hardware acceleration of code evaluation via error rate simulations. We also discuss the architectural techniques and innovations corresponding to our proposed algorithm for optimization of the implementation. Finally, a proof-of-concept ASIC chip is realized that integrates many of the proposed techniques. We are able to achieve a 3.7x improvement in the information throughput and 23.8x improvement in the energy efficiency over prior state-of-the-art, without sacrificing the strong error correcting capabilities of the NB-LDPC code.
Low-density parity-check code (LDPC) not only has good performance approaching the Shannon limit, but also has low decoding complexity and flexible structure. It is a research hot-spot in the field of channel coding in recent years and has a wide range of application prospects in optical communication systems. In this paper, the decoding aspects and performance of LDPC codes are analyzed and compared according to the bit error rate (BER) of LDPC codes. The computer simulation was carried out under additive white Gaussian noise (AWGN) channel and binary phase shift keying (BPSK) modulation. Through theoretical analysis and simulation results, this paper explores the way of multi-rate LDPC decoding.
In LDPC code, the structure of code's parity check matrix plays the crucial role in code performance. In this paper proposes the preliminary investigation of a designed parity check matrix from Tanner. We modify this technique in to non binary LDPC structure and decoding with FFT-SPA. We take into high code rate application more than 0.8. The result has shown that in bit error rate (BER) compare between non-binary LDPC and binary LDPC. In our results, the performance of non binary LDPC has better than binary LDPC.