Joint Optimization of Protograph LDPC Code Pair for Joint Source and Channel Coding

2018 ◽  
Vol 66 (8) ◽  
pp. 3255-3267 ◽  
Author(s):  
Chen Chen ◽  
Lin Wang ◽  
Francis C. M. Lau
Keyword(s):  
Channel Coding ◽  
Ldpc Code ◽  
Joint Optimization

The Research of LDPC Code in Communication System

2012 ◽  
Vol 532-533 ◽  
pp. 1135-1139
Author(s):  
Dan Hu
Keyword(s):  
Communication System ◽  
Channel Coding ◽  
Iterative Decoding ◽  
Storage System ◽  
Ldpc Codes ◽  
Ldpc Code ◽  
Optical Fiber Communication ◽  
Difficult Problem ◽  
Low Density ◽  
Channel Codes

Low-Density Parity-Check(LDPC) codes are a class of channel codes based on matrix encoding and iterative decoding. It has low decoding complexity as well as capacity approaching performance. Until now, the best designed LDPC codes can achieve the performance within only 0.0045dB of the Shannon limit. With the in-depth study, the encoding complexity of LDPC codes is not a difficult problem for application any more. Today, we can see LDPC codes widely used in many practical systems, such as wireless communication system, deep-space communication system, optical-fiber communication system and media storage system. This thesis first introduces the development of channel coding, and then the basic principles and concepts of LDPC codes. The following parts discuss several techniques of LDPC codes, including the construction methods of low-density parity matrix, the iterative decoding algorithms and performance analysis methods. Besides, we propose our opinions and our improved algorithms.

scholarly journals Design and Analysis of Non-Binary LDPC-CPM System for Hybrid Check Matrix Construction Algorithm of WSN

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2418 ◽  
Author(s):  
Jiahui Meng ◽  
Danfeng Zhao ◽  
Liang Zhang
Keyword(s):  
Error Correction ◽  
Channel Coding ◽  
Ldpc Code ◽  
Coefficient Matrix ◽  
Finite Domain ◽  
Triangular Structure ◽  
Check Matrix ◽  
Lower Triangular ◽  
Iterative Coding ◽  
Matrix Construction

In order to enhance the reliability and anti-interference performance of wireless sensor network (WSN) data transmission, this paper designs the low power scheme of the WSN from the angle of error correction coding and proposes the hybrid check matrix construction (HC) algorithm based on iterative coding algorithms with linear coding complexity. The algorithm first improves the traditional iterative coding algorithm, making it suitable for non-binary low-density parity check (LDPC) codes. Then, the algorithm applies the backward iteration method to change the coding scheme and uses the check matrix construction method so that the progressive edge growth (PEG) algorithm has a lower triangular structure, which is used as a base matrix. An improved quasi-cyclic LDPC (QC-LDPC) algorithm, with a lower triangular structure, is used to generate a cyclic shift matrix and a finite domain coefficient matrix. Simultaneously, the short loop is eliminated and the optimal check matrix is selected for use in the channel coding process. The non-binary LDPC-CPM system is modeled and simulated. The simulation results show that the non-binary LDPC code constructed by the HC algorithm not only has linear coding and storage complexity but also has strong error correction capability. The design of non-binary LDPC-CPM system parameters can enhance the reliability, anti-jamming capability and reduce the complexity and reduce the complexity of the WSN.

scholarly journals On the Error Performance of Coding and Equalization in Low-Complexity Ultra-Wideband Communication Systems

2017 ◽  
Vol 2 (3) ◽  
pp. 245
Author(s):  
Robert H. Morelos-Zaragoza
Keyword(s):  
Channel Coding ◽  
Communication Systems ◽  
Convolutional Code ◽  
Ldpc Code ◽  
Similar Rate ◽  
Decision Feedback ◽  
Ultra Wideband ◽  
Indoor Environments ◽  
Error Performance ◽  
Coding Schemes

In this paper, the performance of various channel coding schemes is investigated in pulse-based ultra-wideband(UWB) communication systems for applications in short-range indoor environments. Pulse-based binary (BPSK) modulation and decision-feedback equalization (DFE) is considered. Concatenated adaptive equalization and coding is explored as an alternative to the more complex and often impractical joint coding and equalization. A block length of approximately 1000 bits is considered in this paper as it results in a static channel with minimal latency while still yielding relatively good error performance. The error performance of a previously proposed turbo product code (TPC), based on two identical Hamming (31,26) codes, is simulated and compared with that of otherchannel coding schemes of similar rate and code length. These include a regular LDPC (1057,813) code, a memory-6 rate-3/4 punctured convolutional code, a Reed-Solomon (127,89) code and a concatenated (off-the-shelf) code with a Reed-Solomon (255,239) outer code and a memory-6 rate-3/4 punctured convolutional inner code. The inclusion of the concatenated Reed-Solomon scheme serves as a reference, as this is an off-the-shelf classical and still popular solution. The simulation results show that, among the coding schemes considered, the LDPC code offers the best error performance.

scholarly journals Channel Coding of Weighted Probabilistic Model

2021 ◽  
Author(s):  
Jielin Wang
Keyword(s):  
Error Detection ◽  
Channel Coding ◽  
Probability Model ◽  
Binary Sequence ◽  
Ldpc Code ◽  
Correction Method ◽  
Coding Method ◽  
Error Detection And Correction ◽  
Lossless Coding ◽  
Weighted Probability

<p>In this paper a brand new channel error detection and correction method is provided. Artificially adding symbols to the source binary sequence makes the binary sequence present a regularity. The receiver can use this rule to implement error detection and correction. Since many redundant symbols are added, a weighted probability model lossless coding method is proposed in this paper to remove redundant information, and the reasons why Markov chains and conditional probabilities are not feasible are given. It is proven that the method in this paper can reach the channel capacity when the code length approaches infinity. It is shown experimentally that when the code rate is 1/2 in the BIAWGN channel, the method in this paper is superior to the polar code and LDPC code.</p>

Cross-Layer Joint Optimization of Multimedia Transmissions over IP Based Wireless Networks

2010 ◽  
pp. 469-493 ◽  
Author(s):  
Catherine Lamy-Bergot ◽  
Gianmarco Panza
Keyword(s):  
21St Century ◽  
Channel Coding ◽  
Optimal Allocation ◽  
Traditional Approach ◽  
Joint Optimization ◽  
Beyond 3G ◽  
Joint Source Channel Coding ◽  
Integrated Strategy ◽  
System Components ◽  
Multimedia Transmissions

The traditional approach consisting in separately optimizing each module of a transmission chain has shown limitations in the case of wireless communications where delay, power limitation and error-prone channels are experienced. This is why modern designers focus on a more integrated strategy to establish the heterogeneous 21st century networks, such as 3G (i.e. UMTS) system and its evolutions (i.e. Beyond 3G or 4G like LTE or future 5G systems). Indeed, it was shown in several studies that optimal allocation of user and system resources could be effectively achieved with the co-operative optimization of communication system components. In this chapter, an innovative Joint-Source Channel Coding and Decoding (JSCC/D) system is described and its performance over an IPv6-based Network infrastructure is assessed. A particular focus is put on the application controller, the key component to realize the adaptation strategies. Conclusions and considerations about the system implementation are also proposed, and the interest of a possible extension to a point-to-multipoint scenario is explained.

scholarly journals Channel Coding of Weighted Probabilistic Model

2021 ◽  
Author(s):  
Jielin Wang
Keyword(s):  
Error Detection ◽  
Channel Coding ◽  
Probability Model ◽  
Binary Sequence ◽  
Ldpc Code ◽  
Correction Method ◽  
Coding Method ◽  
Error Detection And Correction ◽  
Lossless Coding ◽  
Weighted Probability

<p>In this paper a brand new channel error detection and correction method is provided. Artificially adding symbols to the source binary sequence makes the binary sequence present a regularity. The receiver can use this rule to implement error detection and correction. Since many redundant symbols are added, a weighted probability model lossless coding method is proposed in this paper to remove redundant information, and the reasons why Markov chains and conditional probabilities are not feasible are given. It is proven that the method in this paper can reach the channel capacity when the code length approaches infinity. It is shown experimentally that when the code rate is 1/2 in the BIAWGN channel, the method in this paper is superior to the polar code and LDPC code.</p>

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