• Title/Summary/Keyword: Soft Decoding

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A LT Codec Architecture with an Efficient Degree Generator and New Permutation Technique (효율적인 정도 생성기 및 새로운 순열 기법을 가진 LT 코덱 구조)

  • Hasan, Md. Tariq;Choi, Goang Seog
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.10 no.4
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    • pp.117-125
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    • 2014
  • In this paper, a novel hardware architecture of the LT codec is presented where non-BP based decoding algorithm is applied. Novel LT codec architecture is designed with an efficient degree distribution unit using Verilog HDL. To perform permutation operation, different initial valued or time shifted counters have been used to get pretty well permutations and an effect of randomness. The codec will take 128 bits as input and produce 256 encoded output bits. The simulation results show expected performances as the implemented distribution and the original distribution are pretty same. The proposed LT codec takes 257.5 cycle counts and $2.575{\mu}s$ for encoding and decoding instead of 5,204,861 minimum cycle counts and 4.43s of the design mentioned in the previous works where iterative soft BP decoding was used in ASIC and ASIP implementation of the LT codec.

Accelerating Soft-Decision Reed-Muller Decoding Using a Graphics Processing Unit

  • Uddin, Md. Sharif;Kim, Cheol Hong;Kim, Jong-Myon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.4 no.2
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    • pp.369-378
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    • 2014
  • The Reed-Muller code is one of the efficient algorithms for multiple bit error correction, however, its high-computation requirement inherent in the decoding process prohibits its use in practical applications. To solve this problem, this paper proposes a graphics processing unit (GPU)-based parallel error control approach using Reed-Muller R(r, m) coding for real-time wireless communication systems. GPU offers a high-throughput parallel computing platform that can achieve the desired high-performance decoding by exploiting massive parallelism inherent in the algorithm. In addition, we compare the performance of the GPU-based approach with the equivalent sequential approach that runs on the traditional CPU. The experimental results indicate that the proposed GPU-based approach exceedingly outperforms the sequential approach in terms of execution time, yielding over 70× speedup.

Estimation of soft decision channel gain for coded MIMO system (부호화된 MIMO 시스템에서 연판정 채널 이득값의 계산)

  • Kim, Young-Min;Shang, Ping Ping;Kim, Soo-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.6A
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    • pp.577-586
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    • 2011
  • Modem digital communication systems are required to use forward error correction (FEC) codes to combat inevitable channel impairment. Turbo codes or low density parity check (LDPC) codes, using iterative decoding with soft decision detection (SDD) information, are the most common examples. The excellent performance of these codes should be conditioned on accurate estimation of soft decision detection information. In order to use FEC codes with iterative decoding for Multi-Input Multi-Output (MIMO) system, reliable soft decision channel gain should be provided. In this paper, we investigate efficient SDD methods for turbo-coded MIMO system, and derive the corresponding formulas of SDD for various MIMO detection schemes. We present simulation results of the derived SDD schemes for turbo-coded MIMO systems, and show that the presented results almost approximate to maximum likelihood detection performance with much less computational load.

Soft-Decision-and-Forward Protocol for Cooperative Communication Networks with Multiple Antennas

  • Yang, Jae-Dong;Song, Kyoung-Young;No, Jong-Seon;Shin, Dong-Joan
    • Journal of Communications and Networks
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    • v.13 no.3
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    • pp.257-265
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    • 2011
  • In this paper, a cooperative relaying protocol called soft-decision-and-forward (SDF) with multiple antennas in each node is introduced. SDF protocol exploits the soft decision source symbol values from the received signal at the relay node. For orthogonal transmission (OT), orthogonal codes including Alamouti code are used and for non-orthogonal transmission (NT), distributed space-time codes are designed by using a quasi-orthogonal space-time block code. The optimal maximum likelihood (ML) decoders for the proposed protocol with low decoding complexity are proposed. For OT, the ML decoders are derived as symbolwise decoders while for NT, the ML decoders are derived as pairwise decoders. It can be seen through simulations that SDF protocol outperforms AF protocol for both OT and NT.

VLSI Design of Soft Decision Viterbi Decoder Using Systolic Array Architecture (역추적 방식의 시스토릭 어레이 구조를 가진 연판정 비터비 복호기의 설계)

  • Kim, Ki-Bo;Kim, Jong-Tae
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.3199-3201
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    • 1999
  • Convolutional coding with Viterbi decoding is known as a powerful method for forward error correction among many kinds of channel coding methods. This paper presents a soft decision Viterbi decoder which has systolic array trace-back architecture[1]. Soft decision is known as more effective method than hard decision and most of digital communication systems use soft decision. The advantage of using a systolic array decoder is that the trace-back operation can be accomplished continuously in an array of registers in a pipe-line fashion, instead of waiting for the entire trace-back procedure to be completed at each iteration. Therefore it may be suitable for faster communication system. We described operations of each module of the decoder and showed results of the logic synthesis and functional simulation.

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An Efficient Iterative Decoding Stop Criterion Algorithm using Error Probability Variance Value of Turbo Code (터보부호의 오류확률 분산값을 이용한 효율적인 반복중단 알고리즘)

  • Jeong Dae ho;Shim Byoung sup;Lim Soon Ja;Kim Tae hyung;Kim Hwan yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.10C
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    • pp.1387-1394
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    • 2004
  • Turbo code, a kind of error correction coding technique, has been used in the field of digital mobile communication systems. And it is well known about the fact that turbo code has better the BER performance as the number of decoding iterations increases in the AWGN channel environment. However, as the number of decoding iterations is increased under the several channel environments, any further iteration results in very little improvement, and it requires much delay, computation and power consumption in proportion to the number of decoding iterations. In this paper, it proposes the efficient iterative decoding stop criterion algorithm which can largely reduce the average number of decoding iterations of turbo code. Through simulations, it is verifying that the proposed algorithm can efficiently stop the iterative decoding by using the variance value of error probability for the soft output value, and can largely reduce the average number of decoding iterations without BER performance degradation. As a result of simulation, the average number of decoding iterations for the proposed algorithm is reduced by about 2.25% ~14.31% and 3.79% ~14.38% respectively compared to conventional schemes, and power consumption is saved in proportion to the number of decoding iterations.

Soft-Input Soft-Output Multiple Symbol Detection for Ultra-Wideband Systems

  • Wang, Chanfei;Gao, Hui;Lv, Tiejun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.7
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    • pp.2614-2632
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    • 2015
  • A multiple symbol detection (MSD) algorithm is proposed relying on soft information for ultra-wideband systems, where differential space-time block code is employed. The proposed algorithm aims to calculate a posteriori probabilities (APP) of information symbols, where a forward and backward message passing mechanism is implemented based on the BCJR algorithm. Specifically, an MSD metric is analyzed and performed for serving the APP model. Furthermore, an autocorrelation sampling is employed to exploit signals dependencies among different symbols, where the observation window slides one symbol each time. With the aid of the bidirectional message passing mechanism and the proposed sampling approach, the proposed MSD algorithm achieves a better detection performance as compared with the existing MSD. In addition, when the proposed MSD is exploited in conjunction with channel decoding, an iterative soft-input soft-output MSD approach is obtained. Finally, simulations demonstrate that the proposed approaches improve detection performance significantly.

Turbo MAP Decoding Algorithm based on Radix-4 Method (Radix-4 방식의 터보 MAP 복호 알고리즘)

  • 정지원;성진숙;김명섭;오덕길;고성찬
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.4A
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    • pp.546-552
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    • 2000
  • The decoding of Turbo-Code relies on the application of a soft input/soft output decoders which can be realized using maximum-a-posteriori(MAP) symbol estimator[l]. Radix-2 MAP decoder can not be used for high speed communications because of a large number of interleaver block size N. This paper proposed a new simple method for radix-4 MAP decoder based on radix-2 MAP decoder in order to reduce the interleave block size. A branch metrics, forward and backward recursive functions are proposed for applying to radix-4 MAP structure with symbol interleaver. Radix-4 MAP decoder shall be illustratively described and its error performance capability shall be compared to conventional radix-2 MAP decoder in AWGN channel.

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Efficient VLSI Architecture for Factorization in Soft-Decision Reed-Solomon List Decoding (연판정 Reed-Solomon 리스트 디코딩의 Factorization을 위한 효율적인 VLSI 구조)

  • Lee, Sung-Man;Park, Tae-Guen
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.47 no.11
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    • pp.54-64
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    • 2010
  • Reed-Solomon (RS) codes are the most widely used error correcting codes in digital communications and data storage. Recently, Sudan found algorithm of list decoder for RS codes. List decoder has larger decoding radius than conventional hard-decision decoding algorithms and return more than one candidate polynomial. But, the algorithm includes interpolation and factorization step that demand massive computations. In this paper, an efficient architecture and processing schedule are proposed. The architecture consists of R-MAC, memories, and control unit. The R-MAC computes both of RC and PU steps that are main part of the factorization algorithm. The proposed architecture can achieve higher hardware utilization efficiency (HUE) and throughput by using efficient processing schedule and memory architecture. Also, the architecture can be designed flexibly with scalability for various applications. We design and synthesize our architecture using Dongbu-Anam $0.18{\mu}m$ standard cell library and the maximum clock frequency is 330MHz.

A Turbo-Coded Modulation Scheme for Deep-Space Optical Communications (Deep-Space 광통신을 위한 터보 부호화 변조 기법)

  • Oh, Sang-Mok;Hwang, In-Ho;Lee, Jeong-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.2C
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    • pp.139-147
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    • 2010
  • A novel turbo coded modulation scheme, called turbo-APPM, for deep space optical communications is constructed. The constructed turbo-APPM is a serial concatenations of turbo codes, an accumulator and a pulse position modulation (PPM), where turbo codes act as an outer code while the accumulator and the PPM act together as an inner code. The generator polynomial and the puncturing rule for generating turbo codes are chosen to show the low bit error rate. At the receiver, the joint decoding is performed by exchanging soft information iteratively between the inner decoder and the outer decoder. In the outer decoder, a local iterative decoding for turbo codes is conducted before transferring soft information to the inner decoder. Poisson distribution is used to model the deep space optical channel. It is shown by simulations that the constructed turbo-APPM provides coding gains over all previously proposed schemes such as LDPC-APPM, RS-PPM and SCPPM.