Báo cáo hóa học: Convergence Analysis of Turbo Decoding of Serially Concatenated Block Codes and Product Codes Amir Krause
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Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Convergence Analysis of Turbo Decoding of Serially Concatenated Block Codes and Product CodesAmir Krause
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Báo cáo hóa học: " Convergence Analysis of Turbo Decoding of Serially Concatenated Block Codes and Product Codes Amir Krause"EURASIP Journal on Applied Signal Processing 2005:6, 795–807 c 2005 Hindawi Publishing CorporationConvergence Analysis of Turbo Decoding of SeriallyConcatenated Block Codes and Product Codes Amir Krause Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat Aviv 69978, Tel-Aviv, Israel Email: amirkrause@hotmail.com Assaf Sella Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat Aviv 69978, Tel-Aviv, Israel Email: asella@eng.tau.ac.il Yair Be’ery Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat Aviv 69978, Tel-Aviv, Israel Email: ybeery@eng.tau.ac.il Received 30 September 2003; Revised 16 August 2004 The geometric interpretation of turbo decoding has founded a framework, and provided tools for the analysis of parallel- concatenated codes decoding. In this paper, we extend this analytical basis for the decoding of serially concatenated codes, and focus on serially concatenated product codes (SCPC) (i.e., product codes with checks on checks). For this case, at least one of the component (i.e., rows/columns) decoders should calculate the extrinsic information not only for the information bits, but also for the check bits. We refer to such a component decoder as a serial decoding module (SDM). We extend the framework accordingly and derive the update equations for a general turbo decoder of SCPC and the expressions for the main analysis tools: the Jacobian and stability matrices. We explore the stability of the SDM. Specifically, for high SNR, we prove that the maximal eigenvalue of the SDM’s stability matrix approaches d − 1, where d is the minimum Hamming distance of the component code. Hence, for practical codes, the SDM is unstable. Further, we analyze the two turbo decoding schemes, proposed by Benedetto and Pyndiah, by deriving the corresponding update equations and by demonstrating the structure of their stability matrices for the repetition code and an SCPC code with 2 × 2 information bits. Simulation results for the Hamming [(7, 4, 3)]2 and Golay [(24, 12, 8)]2 codes are presented, analyzed, and compared to the theoretical results and to simulations of turbo decoding of parallel concatenation of the same codes. Keywords and phrases: turbo decoding, product codes, convergence, stability.1. INTRODUCTION In this paper, we extend the analysis to turbo decod- ing of serially concatenated codes (SCC), and focus our at-The turbo decoding algorithm is, basically, a suboptimal de- tention on turbo decoding of serially concatenated productcoding algorithm for compound codes which were created codes (SCPC) (also known as product codes with checks onby code concatenation. Most works on turbo codes focus on checks). For this case, at least one of the components (i.e.,code construction, establishment of unified framework for row/column) decoders should calculate the extrinsic infor-decoding of convolutional and block turbo codes [1], adapt- mation of not only the information bits (as in turbo decodinging a turbo coding scheme for specific channels, or reducing of parallel-concatenated codes), but also of the check bits. Wethe decoding complexity. But a comprehensive framework refer to such a decoder as a serial decoding module (SDM).for the analysis of turbo decoding has yet to be found. Hence, we begin by showing how Richardson’s theory [2] can Richardson [2] presented a geometric interpretation of be extended to apply for this decoding scheme, and how thethe turbo decoding process, creating analysis tools for par- analysis tools can be adapted accordingly. We use these toolsallel concatenation code (PCC). Based on this interpreta- ...
Nội dung trích xuất từ tài liệu:
Báo cáo hóa học: " Convergence Analysis of Turbo Decoding of Serially Concatenated Block Codes and Product Codes Amir Krause"EURASIP Journal on Applied Signal Processing 2005:6, 795–807 c 2005 Hindawi Publishing CorporationConvergence Analysis of Turbo Decoding of SeriallyConcatenated Block Codes and Product Codes Amir Krause Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat Aviv 69978, Tel-Aviv, Israel Email: amirkrause@hotmail.com Assaf Sella Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat Aviv 69978, Tel-Aviv, Israel Email: asella@eng.tau.ac.il Yair Be’ery Department of Electrical Engineering-Systems, Tel-Aviv University, Ramat Aviv 69978, Tel-Aviv, Israel Email: ybeery@eng.tau.ac.il Received 30 September 2003; Revised 16 August 2004 The geometric interpretation of turbo decoding has founded a framework, and provided tools for the analysis of parallel- concatenated codes decoding. In this paper, we extend this analytical basis for the decoding of serially concatenated codes, and focus on serially concatenated product codes (SCPC) (i.e., product codes with checks on checks). For this case, at least one of the component (i.e., rows/columns) decoders should calculate the extrinsic information not only for the information bits, but also for the check bits. We refer to such a component decoder as a serial decoding module (SDM). We extend the framework accordingly and derive the update equations for a general turbo decoder of SCPC and the expressions for the main analysis tools: the Jacobian and stability matrices. We explore the stability of the SDM. Specifically, for high SNR, we prove that the maximal eigenvalue of the SDM’s stability matrix approaches d − 1, where d is the minimum Hamming distance of the component code. Hence, for practical codes, the SDM is unstable. Further, we analyze the two turbo decoding schemes, proposed by Benedetto and Pyndiah, by deriving the corresponding update equations and by demonstrating the structure of their stability matrices for the repetition code and an SCPC code with 2 × 2 information bits. Simulation results for the Hamming [(7, 4, 3)]2 and Golay [(24, 12, 8)]2 codes are presented, analyzed, and compared to the theoretical results and to simulations of turbo decoding of parallel concatenation of the same codes. Keywords and phrases: turbo decoding, product codes, convergence, stability.1. INTRODUCTION In this paper, we extend the analysis to turbo decod- ing of serially concatenated codes (SCC), and focus our at-The turbo decoding algorithm is, basically, a suboptimal de- tention on turbo decoding of serially concatenated productcoding algorithm for compound codes which were created codes (SCPC) (also known as product codes with checks onby code concatenation. Most works on turbo codes focus on checks). For this case, at least one of the components (i.e.,code construction, establishment of unified framework for row/column) decoders should calculate the extrinsic infor-decoding of convolutional and block turbo codes [1], adapt- mation of not only the information bits (as in turbo decodinging a turbo coding scheme for specific channels, or reducing of parallel-concatenated codes), but also of the check bits. Wethe decoding complexity. But a comprehensive framework refer to such a decoder as a serial decoding module (SDM).for the analysis of turbo decoding has yet to be found. Hence, we begin by showing how Richardson’s theory [2] can Richardson [2] presented a geometric interpretation of be extended to apply for this decoding scheme, and how thethe turbo decoding process, creating analysis tools for par- analysis tools can be adapted accordingly. We use these toolsallel concatenation code (PCC). Based on this interpreta- ...
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