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Performance Comparisons for Serial Concatenated Block Convolutional Codes when Sequentially and Iteratively Decoded

Performance Comparisons for Serial Concatenated Block Convolutional Codes when Sequentially and Iteratively Decoded PDF Author: Dana Nazir Dannan
Publisher:
ISBN:
Category :
Languages : en
Pages : 178

Book Description
Serially Concatenated Codes, a concept building on classical concatenated codes and parallel concatenated codes known as "Turbo Codes", have been studied for ma ny years. One of the most important forms of serial concatenated codes that was first discovered by Forney [14], consists of a simple convolutional code as an inner c ode and a Reed_ Solomon code as an outer code, and the decoding for this coding scheme is done sequentially, using each decoder once. In this thesis, other powerful linear block codes such as Hamming and BCH codes were considered. Simulations were done for three models with and without an inte rleaver and for different block lengths. Comparative study of the three models w as done in order to find out how the block code may affect the performance. The simulation results showed that both Hamming and BCH codes give the same performa nce for the same values of Energy bit to Noise ratio (EbNo), but a Reed_ Solomon model gives a good performance. In the second part of the thesis, other ways of serial poncatenations were appli ed but here the used decoder will be changed from sequential decoder into iterat ive decoder. The new iterative decoder consists of an outer (SISO), and an inner block decode r that corresponds to the used block encoder, simulation results showed a very b ad performance comparing to the previous models. A new way of serial concatenati on was done, by connecting a block encoder serially to an (SCCC) in the encoder side, and for the decoder side, a block decoder was serially connected to the it erative decoder. Simulation results showed that the new way of concatenating gives a very good performance comparing to the first models for different block codes. Important comparisons were also done in order to see the effect of the block codes when they are modified to a S erial Concatenated Convolutional Codes (SCCCs). Results showed that both Hamming and BCH codes give approximately same performance that is obtained by the equiv alent (SCCC). But when using the Reed_ Solomon code, a very good performance was achieved comparing to all other models, even when compared to Serial Concatenat ed Convolutional Code (SCCC).

Performance Comparisons for Serial Concatenated Block Convolutional Codes when Sequentially and Iteratively Decoded

Performance Comparisons for Serial Concatenated Block Convolutional Codes when Sequentially and Iteratively Decoded PDF Author: Dana Nazir Dannan
Publisher:
ISBN:
Category :
Languages : en
Pages : 178

Book Description
Serially Concatenated Codes, a concept building on classical concatenated codes and parallel concatenated codes known as "Turbo Codes", have been studied for ma ny years. One of the most important forms of serial concatenated codes that was first discovered by Forney [14], consists of a simple convolutional code as an inner c ode and a Reed_ Solomon code as an outer code, and the decoding for this coding scheme is done sequentially, using each decoder once. In this thesis, other powerful linear block codes such as Hamming and BCH codes were considered. Simulations were done for three models with and without an inte rleaver and for different block lengths. Comparative study of the three models w as done in order to find out how the block code may affect the performance. The simulation results showed that both Hamming and BCH codes give the same performa nce for the same values of Energy bit to Noise ratio (EbNo), but a Reed_ Solomon model gives a good performance. In the second part of the thesis, other ways of serial poncatenations were appli ed but here the used decoder will be changed from sequential decoder into iterat ive decoder. The new iterative decoder consists of an outer (SISO), and an inner block decode r that corresponds to the used block encoder, simulation results showed a very b ad performance comparing to the previous models. A new way of serial concatenati on was done, by connecting a block encoder serially to an (SCCC) in the encoder side, and for the decoder side, a block decoder was serially connected to the it erative decoder. Simulation results showed that the new way of concatenating gives a very good performance comparing to the first models for different block codes. Important comparisons were also done in order to see the effect of the block codes when they are modified to a S erial Concatenated Convolutional Codes (SCCCs). Results showed that both Hamming and BCH codes give approximately same performance that is obtained by the equiv alent (SCCC). But when using the Reed_ Solomon code, a very good performance was achieved comparing to all other models, even when compared to Serial Concatenat ed Convolutional Code (SCCC).

Fundamentals of Convolutional Coding

Fundamentals of Convolutional Coding PDF Author: Rolf Johannesson
Publisher: John Wiley & Sons
ISBN: 0470276835
Category : Technology & Engineering
Languages : en
Pages : 686

Book Description
Fundamentals of Convolutional Coding, Second Edition, regarded as a bible of convolutional coding brings you a clear and comprehensive discussion of the basic principles of this field Two new chapters on low-density parity-check (LDPC) convolutional codes and iterative coding Viterbi, BCJR, BEAST, list, and sequential decoding of convolutional codes Distance properties of convolutional codes Includes a downloadable solutions manual

Introduction to Convolutional Codes with Applications

Introduction to Convolutional Codes with Applications PDF Author: Ajay Dholakia
Publisher: Springer Science & Business Media
ISBN: 9780792394679
Category : Computers
Languages : en
Pages : 272

Book Description
A novel application of fast decodable invertible convolutional codes for lost packet recovery in high speed networks is described. This opens the door for using convolutional coding for error recovery in high speed networks.

Iterative Decoding of Parallel and Serial Concatenated Codes

Iterative Decoding of Parallel and Serial Concatenated Codes PDF Author: Chuan Hsian Pu
Publisher: LAP Lambert Academic Publishing
ISBN: 9783838316581
Category : Coding theory
Languages : en
Pages : 148

Book Description
In the past few decades, many forward error correction (FEC) codes have been proposed to improve the performance of digital communication systems. The problem involving many conventional FEC techniques are that the complexity and cost of such coding systems usually increase dramatically with respect to the attainable coding gain. The author focused on the study of the concatenated convolutional codes and their iterative decoding methodologies. Parallel concatenated convolutional codes (PCCC) and serial convolutional concatenated codes (SCCC) are studied to explore their potentiality to approximate Shannon s channel capacity with feasible complexity. Simulation are performed on PCCC and SCCC to understand the performance of the mentioned coding schemes in various circumstances and enables reseaerchers, academicians to fully exploit the potential of such coding schemes for future 4G communication system requirements.

Sequential Iterative Decoding of Concatenated Recursive Systematic Convolutional Codes

Sequential Iterative Decoding of Concatenated Recursive Systematic Convolutional Codes PDF Author: Ravi Sivasankaran
Publisher:
ISBN:
Category : Intelligent control systems
Languages : en
Pages : 318

Book Description


Performance of Several Convolutional and Block Codes with Threshold Decoding

Performance of Several Convolutional and Block Codes with Threshold Decoding PDF Author: Frank Neuman
Publisher:
ISBN:
Category : Error-correcting codes (Information theory)
Languages : en
Pages : 84

Book Description


Trellis and Turbo Coding

Trellis and Turbo Coding PDF Author: Christian B. Schlegel
Publisher: John Wiley & Sons
ISBN: 111910632X
Category : Science
Languages : en
Pages : 518

Book Description
This new edition has been extensively revised to reflect the progress in error control coding over the past few years. Over 60% of the material has been completely reworked, and 30% of the material is original. Convolutional, turbo, and low density parity-check (LDPC) coding and polar codes in a unified framework Advanced research-related developments such as spatial coupling A focus on algorithmic and implementation aspects of error control coding

Performance of Serial Concatenated Convolutional Codes with MSK Over ISI Wireless Channels

Performance of Serial Concatenated Convolutional Codes with MSK Over ISI Wireless Channels PDF Author: Le Feng
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Simulation of Serially Concatenated Convolutional Code with Iterative Decoding

Simulation of Serially Concatenated Convolutional Code with Iterative Decoding PDF Author: Kim Swan Tan
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages :

Book Description


Applications of Constrained Turbo Block Convolutional Codes

Applications of Constrained Turbo Block Convolutional Codes PDF Author: Sang Ik Han
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 198

Book Description
Serial concatenation can generate low complex powerful codes. Interleaver in a serially concatenated code (SCC) plays a very important role in determining the performance. Traditional methods of interleaver design generally focus either on increasing the minimum distance of the code or increasing the interleaver gain. Recently, a constrained interleaving technique has been introduced to increase the minimum distance while simultaneously maintaining a high interleaver gain. As a result, SCCs constructed with constrained interleaving can perform better than those constructed with traditional interleaving methods. Due to their improved performance, SCCs with constrained interleaving can be constructed with simpler component codes and/or shorter interleaver sizes thereby reducing decoding complexity and decoding delay. In this dissertation, SCCs with constrained interleaving are further examined and their suitability for 100 Gbps and beyond applications in the optical transport network (OTN) is examined. Specifically, this dissertation (a) constructs SCCs with constrained interleaving, (b) derives their asymptotic performance bounds and verifies those bounds using computer simulations, (c) quantifies gains that can be achieved with constrained interleavers over other known interleavers, and (d) designs SCCs using constrained interleaving for applications in OTN. It is demonstrated that SCCs constructed with constrained interleaving perform better than other proposed codes or OTN applications with lower encoding/decoding complexity.