Evaluation and Improvement of the Decoding Performance of LDPC Convolutional Codes over Several Channels

2014 Fiscal Year Final Research Report

• Project/Area Number: 24760303
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Communication/Network engineering
• Research Institution: Saga University
• Principal Investigator: HIROTOMO Masanori 佐賀大学, 工学(系)研究科(研究院), 准教授 (00529795)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 誤り訂正符号 / LDPC畳込み符号 / 重み分布 / 最小自由距離 / 復号特性

Outline of Final Research Achievements

Low-density parity-check (LDPC) convolutional codes are error correcting codes constructed by sparse parity-check matrices of convolutional codes. The codes show good performance when they are decoded by iterative algorithms. In this research, we proposed an efficient methods for computing the free distance and the weight spectrum of LDPC convolutional codes. We focus on structural property of parity-check matrices of LDPC convolutional codes, and reduce the complexity of computing the free distance and the weight spectrum. Furthermore, we discuss about the improvement of decoding performance of LDPC convolutional codes over several channels.

Free Research Field

情報通信工学