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姓名 彭博詮(Po-Chuan Peng) 查詢紙本館藏 畢業系所 通訊工程學系 論文名稱 低密度同位元檢查碼在數位資料儲存系統之研究
(Study of Low-Density Parity-Check Codes on Digital Storage Systems)相關論文 檔案 [Endnote RIS 格式]
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摘要(中) 為提高數位資料儲存系統之記錄密度和資料傳輸速率,近期文獻所提出接收端架構為渦輪等化器(Turbo Equalizer),藉由內外碼的訊息傳遞達到優異的效能,內碼部分為通道偵測部分,資料儲存系統常用比較先進之訊號處理技術,利用等化器將讀回信號等化成部份反應信號以降低雜訊接著再利用最佳估算偵測法則即BCJR法則(BCJR Algorithm)將信號還原為數位資料,此種訊號處理技術稱為部份反應/最佳估算(Partial Response and Maximum Likelihood Detection, PRML)通道技術,可將數位儲存通道視作碼率為1之迴旋碼,外部碼則為PRML光學通道外部加入錯誤更正碼,使用了渦輪碼為外碼,此架構稱為BCJR偵測器/渦輪碼渦輪等化器,該類系統需要用到三個串連式(Serial)的最大事後機率演算法模組(內部PRML讀回訊號偵測利用一個BCJR模組,外部渦輪碼解碼器,由兩個平行系統迴旋碼組成,需要利用兩個BCJR模組),雖然有很好的錯誤更正效能,但解碼延遲過長,在即時(Real Time)系統上無法應用。
本論文改善此缺點,使內部偵測演算法由原先耗時的串連BCJR演算法改變為快速的平行(Parallel)架構,加入視窗的概念,將演算法改為Window-BCJR,並加入TMTR調變碼(TMTR Modulated Code),使訊號更適合在媒體上記錄,並於外部碼採用擁有平行解碼架構之低密度同位元檢查碼(LDPC),形成效能優異且解碼延遲小之全平行渦輪等化器。摘要(英) The advanced signal processing technique referred to as the partial response and maximal likelihood (PRML) channel is usually employed in the digital recording systems to increase the recording density and/or data transmission rate. In addition, a turbo equalization scheme was investigated in which a turbo code consisted of two parallel systematic convolutional codes was employed as an outer code and the BCJR detection of the TMTR-coded partial response channel was employed as an inner code.But this kind of Turbo Equalizer is too slow.
We proposed a new turbo equalization scheme the window-BCJR detection for the TMTR-coded partial response channel can be processed in a parallel way and the decoding delay could be ignored, the decoding of the outer code is the low-density parity-check (LDPC) codes. The recent research for the turbo decoding has been focused on the LDPC codes due to that a parallel processing architecture for decoding of the LDPC codes is possible, and this leads to a short decoding delay.We instead of using turbo codes the low density parity check (LDPC) codes are employed as the outer code in the turbo equalization scheme. The turbo decoding for the TMTR-coded partial response channel with the LDPC codes will be investigated.關鍵字(中) ★ 光記錄通道
★ 部份反應/最佳估算
★ 最大事後機率偵測器
★ 低密度同位元檢查碼關鍵字(英) ★ LDPC
★ DVD
★ PRML
★ Turbo Equalizer
★ BCJR論文目次 第一章 光學記錄系統與背景知識 1
1.1 簡介與研究動機 2
1.2 光學通道發送端模型 4
1.3 光學通道接收端-渦輪等化器系統 7
1.4 論文編排 10
第二章 低密度同位元檢查碼與調變碼 15
2.1 線性區塊碼(Linear Block Code) 16
2.2 低密度同位元檢查碼 18
2.3 TMTR調變碼(Time-varying Maximum Transition Run Code) 28
第三章 LDPC運用於TMTR編碼之部分反應通道 44
3.1 串連型柵狀圖通道偵測器(BCJR偵測器) 45
3.2 BCJR偵測器/LDPC渦輪等化器架構 54
3.3 BCJR偵測器/LDPC渦輪等化器效能模擬 56
3.4 BCJR偵測器/LDPC渦輪等化器解碼延遲分析 59
第四章 一種新型全平行式等化器 76
4.1 平行式柵狀圖通道偵測器 77
4.2 新型平行式渦輪等化器-Window-BCJR/LDPC碼渦輪等化器 83
4.3 新型平行式渦輪等化器效能模擬 84
4.4 新型平行式渦輪等化器解碼延遲分析 86
第五章 結論 105
參考文獻 106參考文獻 【1】C. Berrou, A. Glavieux, and P. Thitimajshima, “Near Shannon limit error-correcting coding and decoding. Turbo codes, “ in Proc. Int. Conf. Communications, May 1993, pp. 1064–1070.
【2】R. G. Gallager, “Low-density parity-check codes,” IRE Trans. on Information Theory, 1962, pp. 21-28
【3】B. M. Kurkoski et al., “Joint Message-Passing Decoding of LDPC Codes and Partial-Response Channels,”IEEE Trans. on Information Theory, Vol.48, No.6, June 2002.
【4】Chang Hun Lee and Young Soo Cho, “A PRML Detector for a DVDR symtem”, IEEE Trans. On Consumer Electronics, Vol.45, No.2, May 1999.
【5】Ralf Koetter, Andrew C. Singer, Michael Tuchler, “Turbo Equalization”, IEEE,Signal Processing Magazine, Vol. 21, Issue 1, Jan. 2004, pp.67 – 80.
【6】L. R. Bahl, J. Cocke, F. Jelinek, and J. Raviv, “Optimal decoding of linear codes for minimizing symbol error rate”, IEEE Trans. Inform. Theory, Vol.20, Issue 2, Mar 1974, pp.284 – 287.
【7】MacKay, D.J.C , “Good error-correcting codes based on very sparse matrices”, IEEE Trans. Inform. Theory, Vol. 45, No. 2, March 1999.
【8】F.R. Kschischang et al., ”Factor graphs and the sum-product algorithm,”IEEE Trans. On Information Theory, Vol. 47, Feb. 2001,pp.498-519.
【9】John L. Fan ,“Constrained coding and soft iterative decoding”.
【10】C. Howland et al.,” Parallel decoding architectures for low density parity check codes” The 2001 IEEE International Symposium on Circuits and Systems, Vol. 4, May 2001 ,pp. 742 – 745,
【11】B. E. Moision, P. H. Siegel, E. Soljauin, “Distance-enhancing codes for digital recording”, Magnetics, IEEE Trans.,Vol.34,Issue 1, Part 1, January 1998, pp. 69-74
【12】張倉茂,“渦輪碼在光學紀錄反應通道上之應用”,碩士論文,中央大學,2002年。
【13】蘇陸明,“事後機率演算法則在資料儲存系統之研究”,碩士論文,中央大學,2004年。指導教授 林銀議(Yin-Yi Lin) 審核日期 2005-6-29 推文 plurk
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