WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation

碩士 === 國立交通大學 === 電子工程系所 === 98 === The focus of this thesis is the research of the convolutional turbo code (CTC) defined in IEEE 802.16e OFDMA and implement on the C6416 DSP. We explain the duo-binary circular recursive systematic convolutional encoding (duo-binary CRSC) and use BCJR decoding a...

Full description

Bibliographic Details
Main Authors: Tseng, Shao-Hsueh, 曾劭學
Other Authors: Lin, David-W
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/48478368215722648100
id ndltd-TW-098NCTU5428068
record_format oai_dc
spelling ndltd-TW-098NCTU54280682016-04-25T04:27:14Z http://ndltd.ncl.edu.tw/handle/48478368215722648100 WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation WiMAX迴旋渦輪碼技術與數位訊號處理器實現 Tseng, Shao-Hsueh 曾劭學 碩士 國立交通大學 電子工程系所 98 The focus of this thesis is the research of the convolutional turbo code (CTC) defined in IEEE 802.16e OFDMA and implement on the C6416 DSP. We explain the duo-binary circular recursive systematic convolutional encoding (duo-binary CRSC) and use BCJR decoding algorithm by max-log-MAP. We employ the C program to insure the correctness of our algorithm and compensate the performance loss by max-log-MAP, furthermore, simulate the CTC for different modulations in AWGN. Then, we implement on TI C6416 DSP, changing trellis order and using intrinsic function to achieve parallel operation. Therefore, we improve decoder operation speed efficiently. For original decoder just can achieved a processing rate of 800 Kbps . For improved decoder , which is approximately 2 times speed up in decoding rate. Therefore, the decoder can achieve a further data processing rate of 1500 Kbps. Lin, David-W 林大衛 2009 學位論文 ; thesis 93 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 電子工程系所 === 98 === The focus of this thesis is the research of the convolutional turbo code (CTC) defined in IEEE 802.16e OFDMA and implement on the C6416 DSP. We explain the duo-binary circular recursive systematic convolutional encoding (duo-binary CRSC) and use BCJR decoding algorithm by max-log-MAP. We employ the C program to insure the correctness of our algorithm and compensate the performance loss by max-log-MAP, furthermore, simulate the CTC for different modulations in AWGN. Then, we implement on TI C6416 DSP, changing trellis order and using intrinsic function to achieve parallel operation. Therefore, we improve decoder operation speed efficiently. For original decoder just can achieved a processing rate of 800 Kbps . For improved decoder , which is approximately 2 times speed up in decoding rate. Therefore, the decoder can achieve a further data processing rate of 1500 Kbps.
author2 Lin, David-W
author_facet Lin, David-W
Tseng, Shao-Hsueh
曾劭學
author Tseng, Shao-Hsueh
曾劭學
spellingShingle Tseng, Shao-Hsueh
曾劭學
WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation
author_sort Tseng, Shao-Hsueh
title WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation
title_short WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation
title_full WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation
title_fullStr WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation
title_full_unstemmed WiMAX Convolutional Turbo Code Technology and Digital Signal Processor Implementation
title_sort wimax convolutional turbo code technology and digital signal processor implementation
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/48478368215722648100
work_keys_str_mv AT tsengshaohsueh wimaxconvolutionalturbocodetechnologyanddigitalsignalprocessorimplementation
AT céngshàoxué wimaxconvolutionalturbocodetechnologyanddigitalsignalprocessorimplementation
AT tsengshaohsueh wimaxhuíxuánwōlúnmǎjìshùyǔshùwèixùnhàochùlǐqìshíxiàn
AT céngshàoxué wimaxhuíxuánwōlúnmǎjìshùyǔshùwèixùnhàochùlǐqìshíxiàn
_version_ 1718232633872220160