Convolutional Coupled Codes

This thesis is about convolutional coupled codes - codes constructed via concatenation of several outer systematic convolutional encoders and several inner systematic block encoders linked by divers interleavers. The code is nonsystematic, since only the redundancy produced from the outer and inner...

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Main Author: Chaoui, Slim
Format: Others
Language:English
en
Published: 2003
Online Access:https://tuprints.ulb.tu-darmstadt.de/295/1/Diss_end_slim.pdf
Chaoui, Slim <http://tuprints.ulb.tu-darmstadt.de/view/person/Chaoui=3ASlim=3A=3A.html> (2003): Convolutional Coupled Codes.Darmstadt, Technische Universität, [Online-Edition: http://elib.tu-darmstadt.de/diss/000295 <http://elib.tu-darmstadt.de/diss/000295> <official_url>],[Ph.D. Thesis]
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spelling ndltd-tu-darmstadt.de-oai-tuprints.ulb.tu-darmstadt.de-2952020-07-15T07:09:31Z http://tuprints.ulb.tu-darmstadt.de/295/ Convolutional Coupled Codes Chaoui, Slim This thesis is about convolutional coupled codes - codes constructed via concatenation of several outer systematic convolutional encoders and several inner systematic block encoders linked by divers interleavers. The code is nonsystematic, since only the redundancy produced from the outer and inner encoders is transmitted. The focus of the work is on the understanding and design of convolutional coupled codes. This includes thorough investigation of central components that influence convolutional coupled code performance, such as the constituent encoders, as well as the procedure of iterative decoding. The investigations are carried out for transmission on additive white Gaussian noise channels. Two aspects that influence the performance of convolutional coupled codes are considered: (1) code properties, in terms of effective free distance, and (2) decoding properties, in terms of the performance of the iterative decoding. It is asserted that both these aspects are influenced by the choice of the inner and outer constituent encoders. Guidelines for the choice of constituent encoders are outlined. It is demonstrated that the “error floor” convolutional coupled codes are claimed to suffer from at medium- to high signal to noise ratios can be significantly lowered by proper chose of the inner encoding matrix. The aspect of convergence behavior of the iterative decoding is investigated. The influence of code memory, code polynomials as well as different inner codes on the convergence behavior is studied. Inside this thesis we show that convolutional coupled codes have potential of being a realistic alternative to other concatenated schemes especially Turbo codes. 2003-02-06 Ph.D. Thesis PeerReviewed application/pdf eng only the rights of use according to UrhG https://tuprints.ulb.tu-darmstadt.de/295/1/Diss_end_slim.pdf Chaoui, Slim <http://tuprints.ulb.tu-darmstadt.de/view/person/Chaoui=3ASlim=3A=3A.html> (2003): Convolutional Coupled Codes.Darmstadt, Technische Universität, [Online-Edition: http://elib.tu-darmstadt.de/diss/000295 <http://elib.tu-darmstadt.de/diss/000295> <official_url>],[Ph.D. Thesis] http://elib.tu-darmstadt.de/diss/000295 en info:eu-repo/semantics/doctoralThesis info:eu-repo/semantics/openAccess
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language English
en
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description This thesis is about convolutional coupled codes - codes constructed via concatenation of several outer systematic convolutional encoders and several inner systematic block encoders linked by divers interleavers. The code is nonsystematic, since only the redundancy produced from the outer and inner encoders is transmitted. The focus of the work is on the understanding and design of convolutional coupled codes. This includes thorough investigation of central components that influence convolutional coupled code performance, such as the constituent encoders, as well as the procedure of iterative decoding. The investigations are carried out for transmission on additive white Gaussian noise channels. Two aspects that influence the performance of convolutional coupled codes are considered: (1) code properties, in terms of effective free distance, and (2) decoding properties, in terms of the performance of the iterative decoding. It is asserted that both these aspects are influenced by the choice of the inner and outer constituent encoders. Guidelines for the choice of constituent encoders are outlined. It is demonstrated that the “error floor” convolutional coupled codes are claimed to suffer from at medium- to high signal to noise ratios can be significantly lowered by proper chose of the inner encoding matrix. The aspect of convergence behavior of the iterative decoding is investigated. The influence of code memory, code polynomials as well as different inner codes on the convergence behavior is studied. Inside this thesis we show that convolutional coupled codes have potential of being a realistic alternative to other concatenated schemes especially Turbo codes.
author Chaoui, Slim
spellingShingle Chaoui, Slim
Convolutional Coupled Codes
author_facet Chaoui, Slim
author_sort Chaoui, Slim
title Convolutional Coupled Codes
title_short Convolutional Coupled Codes
title_full Convolutional Coupled Codes
title_fullStr Convolutional Coupled Codes
title_full_unstemmed Convolutional Coupled Codes
title_sort convolutional coupled codes
publishDate 2003
url https://tuprints.ulb.tu-darmstadt.de/295/1/Diss_end_slim.pdf
Chaoui, Slim <http://tuprints.ulb.tu-darmstadt.de/view/person/Chaoui=3ASlim=3A=3A.html> (2003): Convolutional Coupled Codes.Darmstadt, Technische Universität, [Online-Edition: http://elib.tu-darmstadt.de/diss/000295 <http://elib.tu-darmstadt.de/diss/000295> <official_url>],[Ph.D. Thesis]
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