Combining Low-Density Parity-Check Codes with Recursive Convolutional Codes for Error-Correction in Binary Erasure Channels

• Main Authors: wei-shuo zhong, 鐘偉碩
• Other Authors: Hsiao-Chiu Chu
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/73912170852030929043

碩士 === 逢甲大學 === 產業研發碩士班 === 95 === With the progressing day by day of electronic science and technology, people''s life already can''t lack the relevant products of electron gradually. among them, the wireless communication has been paid more attention to day by day. The ones that must be overcome are that all information transmitted can be accepted infallibly in any several communication system, with the development of perfection of the theory of the code and digital circuit, many channel coding so as to succeed and widely application to the wireless communication system. There are many kinds of error correction mechanism nowadays. This thesis discusses mainly how to use low-density parity check codes(LDPC Code) ,With Recursive Convolutional Codes Design a simple and easy and effective error-correction the mechanism. Its will focus on combining two systematic linear block of compiled code technology, make recursive convolutional codes as encoder of this error correction mechanism, Convolutional Codes‘s generator matrix have low density and his regularity can be in accordance with following, through passing form of Linaer-Feedback Shift Registers(LFSR''s)can produced limited regular and being formulation Generator Sequences. Make low density-check code as decoder of this error correction mechanism, it is dealt with Erasure and that made an error when transmitting Separately by Bit-Flipping Decoding Algorithm and The Sum-Product Algorithm of low-density parity check code algorithm. Make use of error correct mechanism is it can improve efficiency of encoding , decoding, is it reduce transmission channels probability that make errors, can also increase the speed transmitted in channels. Keywords：error correction, low-density parity-check codes, convolutional codes, Linaer-Feedback Shift Registers, Erasure