Design and FPGA implementation of stochastic turbo decoder

Dong, Quang Trung; Arzel, Matthieu; Jégo, Christophe

doi:10.1109/newcas.2011.5981209

Cited by 9 publications

(3 citation statements)

References 17 publications

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“…Section IV). According to the SPA computation rules the messages out of the VNs are computed as follows (9) and the messages out of the FNs in the lower (Ioopy) part of the FG are defined as P � , l( S k) = 2:: Uk+l, l( S k+l, S k)PP+l , l( S k+t).…”

Section: B Message Passingmentioning

confidence: 99%

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Stochastic soft-input soft-output detection for intersymbol interference channels

Haselmayr

Etzlinger

Springer

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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We propose a fully-parallel low-complexity hard ware architecture of a soft-input soft-output detector based on message passing on a factor graph. Conventionally, the message computation in the graph nodes consists of complex arithmetic operations on probabilities. Here, we represent probabilities by bit-serial streams and transform the arithmetic operations into simple bit-wise operations. This principle is known as stochastic computation and this is its first application to a detection algorithm. We evaluate the bit error rate (BER) performance of the stochastic detector by computer simulations of a commu nication system with intersymbol interference employing turbo equalization. The results show a performance loss of about 0.5 dB at a BER of 10-3 compared to the floating-point implementation of the detector.

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Section: B Message Passingmentioning

confidence: 99%

“…In recent years stochastic computation was used for de coding of low-density parity-check (LDPC) codes [5]- [7] and turbo codes [8], [9]. Here we extend the application of stochas tic computation to the implementation of a SISO detector.…”

Section: Introductionmentioning

confidence: 99%

Stochastic soft-input soft-output detection for intersymbol interference channels

Haselmayr

Etzlinger

Springer

2012

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR)

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“…Our second aim is to improve the decoding performance of the GaB. For this, we introduce a probabilistic stimulation function, which stochastically ( [8] and [9]) affects the state of the iterative decoding process and comes with negligible hardware overhead. We show that the modified GaB architecture archives better decoding performance without sacrificing throughput.…”

Section: Introductionmentioning

confidence: 99%

Analysis and implementation of resource efficient probabilistic Gallager B LDPC decoder

Unal

Ghaffari

Akoglu

et al. 2017

2017 15th IEEE International New Circuits and Systems Conference (NEWCAS)

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Low-Density-Parity-Check (LDPC) codes have gained popularity in communication systems and standards due to their capacity-approaching error-correction performance. In this paper, we first expose the tradeoff between decoding performance and hardware performance across three LDPC hard-decision decoding algorithms: Gallager B (GaB), Gradient Descent Bit Flipping (GDBF), and Probabilistic Gradient Descent Bit Flipping (PGDBF). We show that GaB architecture delivers the best throughput while using fewest Field Programmable Gate Array (FPGA) resources, however performs the worst in terms of decoding performance. We then modify the GaB architecture, introduce a new Probabilistic stimulation function (PGaB), and achieve dramatic decoding performance improvement over the GaB, exceeding the performance of GDBF, without sacrificing its superior maximum operating frequency.

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An Improved Stochastic Decoding Algorithm of LTE Turbo Codes

Jiao

2012

Wireless Algorithms, Systems, and Applications

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Design and FPGA implementation of stochastic turbo decoder

Abstract: ABSTRACT

Cited by 9 publications

References 17 publications

Stochastic soft-input soft-output detection for intersymbol interference channels

Stochastic soft-input soft-output detection for intersymbol interference channels

Analysis and implementation of resource efficient probabilistic Gallager B LDPC decoder

An Improved Stochastic Decoding Algorithm of LTE Turbo Codes

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