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检索条件"主题词=belief propagation algorithm"

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Non Iterative LDPC Decoding By Syndrome Generation Using Artificial Neural Network

Non Iterative LDPC Decoding By Syndrome Generation Using Art...

引用

National Conference on Recent Advances in Electronics & Computer Engineering (RAECE)

作者： Kumar, Dinesh Agrawal, Alkesh Phartiyal, Gopal Singh SRMU Dept Elect & Commun Engn Lucknow Uttar Pradesh India

ISBN: (纸本)9781509021468

Low density parity-check code (LDPC) is an error correcting code used in noisy communication channel (e. g. A WGN) to reduce the probability of error in information. By using LDPC codes, this probability can be made comparatively small, so that the data transmission rate can be as close to Shannon's limit. The decoding of Low Density Parity Check (LDPC) codes by iterative process of belief propagation gives challenges for designers looking for real time performance in communication systems. This thesis work proposes the use of Artificial Neural Networks (ANN) to replace belief propagation to approach closer to Shannon's limit more closer than other traditional decoding methods. This thesis is intended to design a new methodology to decode LDPC codes in Non-iterative manner with the help of ANN and Look Up Table (LUT). This work is at initial stage and will be extended for better performance.

关键词： Artificial Neural Networks LDPC codes belief propagation algorithm Shannon's Limit A WGN Channel

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A Message Passing Approach to Pilot-assisted Multiuser Detection in MC-CDMA Systems

A Message Passing Approach to Pilot-assisted Multiuser Detec...

引用

IEEE Global Telecommunications Conference (GLOBECOM 2010)

作者： Aktas, Emre Hacettepe Univ Dept Elect & Elect Engn TR-06800 Ankara Turkey

ISBN: (纸本)9781424456383

Application of the belief propagation (BP) algorithm is proposed for pilot-assisted reception of multi-carrier code division multiple access systems where the input symbols are binary phase shift keying symbols. The proposed method utilizes a Bayesian network graph that includes channel parameters as explicit nodes representing random variables. Channel parameters in both frequency and time domains are included in the graph. The messages on the graph are obtained by making large system assumptions for the transmitted symbol messages and Gaussian assumptions for the messages related to the channel parameters. It is observed via simulations that the proposed approach achieves performance very close to that of the previously proposed BP method with known channel parameters.

关键词： Bayesian network graph MC-CDMA sys0tem belief networks belief propagation algorithm binary phase shift keying symbol channel parameter code division multiple access frequency domain message passing multi-carrier code division multiple access system multiu

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Adaptive Normalized Min-Sum algorithm for LDPC Decoding

Adaptive Normalized Min-Sum Algorithm for LDPC Decoding

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9th International Wireless Communications and Mobile Computing Conference (IWCMC)

作者： Fan, Liwen Pan, Changyong Peng, Kewu Huang, Jiachen Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol Beijing 100084 Peoples R China

ISBN: (纸本)9781467324809

This paper proposes an adaptive normalized min-sum algorithm for the decoding of low-density parity check (LDPC) codes, which utilizes an adaptive normalization factor to improve the accuracy of the soft information transferred during the iterative decoding process, and provides superior performance accordingly. This adaptive normalization factor can be adjusted dynamically and adaptively at each decoding iteration according to a look-up table obtained via training and simulation. Its implementation facility and independence from the channel characteristics make the proposed adaptive normalized min-sum algorithm expect a wide application. Simulation results show that the proposed algorithm can achieve performance much closer to the sum-product algorithm and a coding gain of around 0.2dB compared to the conventional normalized min-sum algorithm for DVB-S2's rate 2/5 and 3/5 LDPC codes over the additive white Gaussian noise (AWGN) channel.

关键词： low-density parity check codes iterative decoding belief propagation algorithm adaptive normalization factor

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Underwater Target Threat Assessment Method Based on Bayesian Network 40

Underwater Target Threat Assessment Method Based on Bayesian...

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40th Chinese Control Conference (CCC)

作者： Li, Danyi Liu, Meiqin Zhang, Senlin Zhejiang Univ State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Zhejiang Univ Coll Elect Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)9789881563804

Underwater targets are used more and more frequently in modern ocean battlefield. It is important to assess the threat from an enemy target after it is detected immediately, in order to prepare quick counterattack and defense. This paper proposes a method for underwater target threat assessment based on Bayesian Network. The threat model uses a hierarchy view for threat factors. All factors are divided into three parts: environment, target space and target fire. Each part contains several detailed factors, which are arranged based on their causal relationships. These factors are applied into the Bayesian Network and the probability of threat is calculated through Bayesian inference. Finally, a simulation is conducted and the method can effectively assess the target threat. The model has a relatively good performance and can generate the assessment with low time cost.

关键词： Underwater target threat assessment situation awareness Bayesian Network belief propagation algorithm

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LDPC Code Construction as a Generalized Concatenated Code 14

LDPC Code Construction as a Generalized Concatenated Code

引用

XIV Int Symposium Problems Redundancy Inform Control Syst

作者： Zhilin, Igor Zyablov, Victor Inst Informat Transmiss Problems Moscow Russia

ISBN: (纸本)9781479940509

We propose a construction of general concatenated code that uses low-density parity check codes as component codes. This construction itself can also be considered as low-density parity-check code and decoded using belief propagation algorithm. Performances of several decoders are compared;it's shown that this code can be efficiently decoded by proposed soft decoding algorithm or combining BP and proposed algorithm.

关键词： concatenated codes parity check codes LDPC code construction belief propagation algorithm component codes generalized concatenated code low-density parity check codes soft decoding algorithm belief propagation Concatenated codes Decoding Handheld computers Iterative decoding Redundancy low density parity check codes Concatenated codes belief propagation parity check codes hand-held equipment Iterative decoding redundancy DECODING Codes

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A Modified Offset Min-Sum Decoding algorithm for LDPC Codes

A Modified Offset Min-Sum Decoding Algorithm for LDPC Codes

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3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT)

作者： Xu, Meng Wu, Jianhui Zhang, Meng Southeast Univ Natl ASIC Syst Engn Res Ctr Nanjing Jiangsu Peoples R China

ISBN: (纸本)9781424455379

In this paper a modified Offset Min-Sum decoding algorithm for Low-Density Parity Check Codes is presented. In this modified algorithm, the offset factor in the original Offset Min-Sum algorithm is adjusted iteratively with the assistance of the check-node computation outputs of the Normalized Min-Sum algorithm. As a result, the offset factor in our modified algorithm can be calculated adaptively and more efficiently according to the previous decoding procedure, which can minimize the decoding degradation compared with the belief propagation decoding algorithm. The simulation results show that, compared with the original Offset Min-Sum decoding algorithm, our modified algorithm can achieve noticeable performance improvement with minor extra hardware complexity. For example, when BER is 10-5, our algorithm can achieve 0.1dB and 0.2dB decoding gain over Offset Min-Sum algorithm for regular and irregular LDPC codes respectively.

关键词： belief propagation algorithm LDPC codes Normalized and Offset Min-Sum algorithm

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An Improved Min-Sum Polar Code Decoding algorithm 3

An Improved Min-Sum Polar Code Decoding Algorithm

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3rd Asia-Pacific Conference on Communications Technology and Computer Science (ACCTCS)

作者： Fang, Mingyuan Univ Manchester Manchester Lancs England

ISBN: (纸本)9798350310801

In 2009, the presentation of polar code, the first theory to approach the Shannon limit of communication channel coding schemes. Thus, academics and business have focused on Polar codes. Research and worldwide standards have been offered one after another, establishing the groundwork for its real-world *** paper proposes a min-sum decoding technique for enhanced Polar codes and revises the node update formula in the min-sum decoding algorithm by using the piecewise linear function to approximate the function In cosh (x) in the belief propagation decoding algorithm. Compared to the min-sum decoding algorithm, the enhanced approach improves decoding performance while somewhat increasing complexity. Compared to the belief propagation decoding algorithm, this approach decreases computational complexity significantly and is simpler to implement in hardware. Based on the min-sum method and the belief propagation algorithm, this approach is offered as a balance between complexity and performance. The simulation results demonstrate that the enhanced min-sum decoding algorithm performs similarly to its predecessor. The performance of the degree propagation decoding method is almost identical to that of the min-sum decoding technique, which is superior.

关键词： Polar Code belief propagation algorithm Min-Sum algorithm Piecewise Linear Function

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The Research on Approximating the Real Network Degree Distribution Level Based on DCSBM 41

The Research on Approximating the Real Network Degree Distri...

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第41届中国控制会议

作者： Tianyu Qi Hongwei Zhang Yufeng Zhan Yuanqing Xia Beijing Institute of Technology Fudan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Many things in the real world can be simplified as a complex system composed of nodes and the relationships between nodes like a *** in real life,the actual graph topology that we can get is usually *** traditional stochastic block model(SBM) can build graph networks of different *** the SBM cannot simulate real network well in degree distribution level,this paper aims to study a degree-corrected stochastic block model called *** construct the DCSBM in two ways,the stochastic sequence and genetic algorithm *** on the DCSBM,the phase transition,which shows the theoretical upper limit of the model's performance,was derived by the belief propagation(BP) *** we use different graph embedding methods,including NetMF,ProNE and BP algorithm,to make some *** find the DCSBM approximate real graphs well and the phase transition we infer is correct.

关键词： Random graph models Degree-corrected stochastic block model belief propagation algorithm

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Hybrid Decoding algorithm for LDPC Codes with Circles

Hybrid Decoding Algorithm for LDPC Codes with Circles

引用

International Conference on Advanced Materials and Information Technology Processing (AMITP 2011)

作者： Hu, Lishuang Liu, Mingshan Zhou, Yuan Sun, Yang Jilin Univ Sch Commun Engn State Key Lab Automobile Dynam Simulat Changchun 130023 Peoples R China

ISBN: (纸本)9783037851579

At present, Low-Density Parity-Check (LDPC) codes widely used in many fields of communications have the best performance of all the Error Correcting Codes (ECC). This paper mainly studies the decoding algorithms of LDPC. It proposes an improved algorithm which is named Check-Variable nodes Hybrid(CVH) algorithm on the basis of the existing algorithms. The CVH algorithm can reduce the computational complexity during the check-node update while overcome with the correlation between the variable-node news in a code with circles. As well as, comparing with the original algorithms the performance of the new one saves 0.1 and 0.3 dB than Log-likelihood Ratios (LLR) belief propagation (BP) and BP - based algorithms under Additive White Gaussian Noise (AWGN) channel when the Bit Error Rate (BER) falls to 10(-4) through the simulation. This point shows that this algorithm can increase the decoding performance and reduce the error rate effectively.

关键词： LDPC codes with circles belief propagation algorithm CVH algorithm Correction coefficient

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State Estimation in Electric Power Systems Using belief propagation: An Extended DC Model

State Estimation in Electric Power Systems Using Belief Prop...

引用

IEEE International Workshop on Signal Processing Advances in Wireless Communications

作者： Mirsad Cosovic Dejan Vukobratovic Schneider Electric DMS NS LLC Novi Sad Serbia Department of Power Electronics and Communications Engineering University of Novi Sad Serbia

ISBN: (纸本)9781509017508

In this paper, we model an extended DC state estimation (SE) in an electric power system as a factor graph (FG) and solve it using belief propagation (BP) algorithm. The DC model comprises bus voltage angles as state variables, while the extended DC model includes bus voltage angles and bus voltage magnitudes as state variables. By applying BP to solve the SE problem in the extended DC model, we obtain a Gaussian BP scenario for which we derive closed-form expressions for BP messages exchanged along the FG. The performance of the BP algorithm is demonstrated for the IEEE 14 bus test case. Finally, the application of BP algorithm on the extended DC scenario provides significant insights into a fundamental structure of BP equations in more complex models such as the AC model - the topic we will investigate in our follow up work. As a side-goal of this paper, we aim at thorough and detailed presentation on applying BP on the SE problem in order to make the powerful BP algorithm more accessible and applicable within the power-engineering community.

关键词： State Estimation Electric Power System Factor Graph belief propagation algorithm Gaussian belief propagation

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