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  1. NTU Theses and Dissertations Repository
  2. 電機資訊學院
  3. 電信工程學研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24479
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor林茂昭
dc.contributor.authorYen-Kai Chenen
dc.contributor.author陳彥凱zh_TW
dc.date.accessioned2021-06-08T05:27:37Z-
dc.date.copyright2005-07-19
dc.date.issued2005
dc.date.submitted2005-07-14
dc.identifier.citation[1] G. J. Foschini, “Layered space-time architecture for wireless communications in a fading environment when using multi-element antennas,” Bell Labs Tech. j., vol. no. 2, pp.41-59, Autumn 1996.
[2] V. Tarokh, N. Seshadri, and A.R. Calderbank, “Space-time codes for high data rate wireless communication: Performance criterion and code construction,” IEEE Trans. Inf. Theory, vol. 44 , pp. 744-765, Mar. 1998.
[3] S. M. Alamoui, “A simple transmit diversity scheme for wireless communications,” IEEE J. Sel. Areas Commun., vol. 16, pp. 1451-1458, Oct. 1998.
[4] G. D. Golden, J. G. Foschini, R. A. Valeneuela, and P.W. Wolniansky, “Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture,” Electron. Lett., vol. 35, pp.14-15, Jan. 1999.
[5] M. Sellathurai, and S. Haykin, “TURBO-BLAST for high-speed wireless communications,” Wireless Comm. And Network Conf. 2000, WCNC 2000, Sept. 2000, Chicago.
[6] A. van Zelst, R. van Nee and G. A. Awater, “Turbo-BLAST and its performance,” Vehicular Tech. Conf, 2001. VTC 2001 Spring. IEEE VTS 53rd vol. 2, 6-9 May 2001 pp. 1282-1286 vol.2 .
[7] S. ten Brink, “Convergence of Iterative Decoding,” Electron. Lett., vol. 35, no. 10, May 1999, pp. 806-808.
[8] S. ten Brink, “Convergence Behavior of Iterative Decoded Parallel Concatenated Codes,” IEEE Trans. on Comm., vol. 49, no. 10, pp. 1727-1737, Oct. 2001.
[9] E. Biglieri, J. Proakis, and S. Shamai, “Fading channels: In formation theoretic and communications aspects,” IEEE Trans. Inform. Theory, vol. 44, pp. 2619-2692, Oct. 1998.
[10] Branka Vucetic, and Jinhong Yuan, Space-Time Coding,.
[11] J. Hagenauer and P. Hoeher, “Iterative Decoding of Binary Block and Convolutional Codes,” IEEE Trans. Inf. Theory, vol. 42, no.2, March 1996.
[12] B. Vucetic and J. Yuan, Turbo Codes Principles and Applications, Kluwwer publishers, 2000.
[13] W.E. Ryan, “An Introduction to LDPC Codes,” in CRC Handbook for Coding and Signal Processing for Recoding Systems (B. Vasic, ed.), CRC Press, 2004.
[14] M. Sellathurai, and S. Haykin,, “TURBO-BLAST for Wireless Communications: Theory and Experiments,” IEEE Trans. on SP., vol. 50, no. 10, Oct 2002.
[15] S. ten Brink, J. Speidel and R.-H Yan, “Iterative Demapping and Decoding for Multilevel Modulation,” IEEE GLOBECOM 1998, vol. 1, Nov 1998, pp. 579-584.
[16] P. Robertson, E. Villebrun and P. Hoeher, “A Comparison of Optimal and Sub-optimal MAP Decoding Algorithm in the Log Domain,” Proc. ICC ’95, June 1995, pp. 1009-1013.
[17] A. van Zelst, R. van Nee and G.A. Awater, “Space Division Multiplexing (SDM) for OFDM systems,” 51st IEEE Vehicular Tech. Conf. (VTC) 2000-Spring Proc., Tokyo, May 2000, vol. 2, pp. 1070-1074.
[18] G. Hellstern, “Coded Modulation with Feedback Decoding Trellis Codes,” Proc. ICC’93(Geneva, Switzerland, May 1993), pp. 1071-1075.
[19] R. G. Gallager, “Low-density parity-check codes,” IEEE Trans. Inform. Theory, vol. IT-8, pp. 21-28, Jan. 1962.
[20] T. Richardson, A. Shokrollahi, and R. Urbanke, “Design of capacity-approaching irregular low-density parity-check codes,” IEEE Trans. Inform. Theory, vol. 47, pp. 619-637, Feb. 2001.
[21] A. Ashikhmin, G. Kramer, and S. ten Brink, “Design of Low-Density Parity-Check Codes for Modulation and Detection,” IEEE Trans. on Comm., vol. 52, No. 4, April 2004.
[22] R. M. Tanner, “A recursive approach to low complexity codes,” IEEE Trans. Inform. Theory, vol. IT-27, pp. 533-547, Sept. 1981.
[23] A. Ashikhmin, G. Kramer, and S. ten Brink, “Extrinsic information transfer functions: A model and two properties,” in Proc. Conf. Information Sciences and Systems, Princeton, NJ, Mar. 20-22, 2002, pp. 742-747.
[24] Jia-Yin Wang and Mao-Chao Lin, “On Constructing Trellis Codes with Large Free Distances and Low Decoding Complexities,” IEEE Trans. on Commu., vol. 45, No. 9, pp. 1017-1020, Sept. 1997.
[25] Yeong-Luh Ueng, Chia-Jung Yeh and Mao-Chao Lin, “A Turbo Coded Modulation Scheme Using a Delay Processor,” 2000 International Symposium on Information Theory and Its Applications, Honolulu, Hawaii, USA, Nov, 5-8, 2000.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/24479-
dc.description.abstract在多重收發天線系統中,利用多輸入多輸出 (Multi-input/Multi-output, MIMO) 的通道可以獲得更高的資料速率及多樣性增益。有很多系統架構被設計來運用在多重收發天線系統之中,從最早的多層次時空編碼設計到最近的渦輪多層次編碼設計 (Turbo-BLAST) 以及低密度同位校正碼 (LDPC) 之多重天線結構等等。而在白色高斯雜訊 (AWGN) 的通道系統中,我們已知可藉由結合區碼記憶 (Interblock Memory) 的設計來增進迴旋碼 (Convolutional Codes) 或渦輪碼 (Turbo Codes) 的效能表現。因此,在本論文中,我們研究如何將區碼記憶和不同的多重天線架構結合來達到增進系統效能的目標。
首先,我們利用一個編碼率為三分之二的迴旋編碼器和一個二階層的區碼記憶體跟渦輪多層次編碼設計作結合,並將之應用在區塊衰減通道 (Block fading channel) 和快速衰減通道 (Fast-fading channel) 之中。我們提供模擬結果並可從中看到此一架構的改進處。接著,我們提出另一套結合區碼記憶和低密度同位校正碼的多重天線系統架構,並將之應用於快速衰減通道上,而我們將在模擬結果之中看出這種架構的優點所在。
zh_TW
dc.description.abstractWe can get higher data rates and diversity gains by exploiting the multiple-input multiple-output (MIMO) channel. There are many system configurations designed for MIMO channel, from the outset layered space-time (LST) coding to the recent Turbo-BLAST configuration and LDPC structure for MIMO model, etc. It is also known that a convolutional or turbo coding scheme can be improved by serially concatenating an interblock memory for AWGN channel. Hence, in this thesis, we use the combination of different MIMO system model with the interblock memory to achieve better performance.
We first combine a 2/3 code rate convolutional encoder and 2-level interblock memory with Turbo-BLAST system over block fading channel and fast-fading channel. The simulation results reveal the improvement of our proposed method. Second, another combing method for LDPC structure over MIMO fast-fading channel was proposed, and the advantage of the proposed scheme is demonstrated by simulation.
en
dc.description.provenanceMade available in DSpace on 2021-06-08T05:27:37Z (GMT). No. of bitstreams: 1
ntu-94-R92942086-1.pdf: 561206 bytes, checksum: 47cb8e36bbc000a1ec291a147899e436 (MD5)
Previous issue date: 2005
en
dc.description.tableofcontents1 Introduction 1
2 Preliminaries 5
2.1 MIMO Channel Model 5
2.2 Two Kinds of Layered Space-time Codes - H-BLAST and D-BLAST 7
2.3 Turbo Decoding 9
2.3.1 The MAP Decoding Algorithm 9
2.3.2 The Iterative Decoding Algorithm 15
3 Turbo-BLAST 21
3.1 System Configuration 22
3.2 Soft-input/Soft-output MLD 24
3.3 Simulation Results 26
3.3.1 Over Block Fading Channel 27
3.3.2 Over Fast-Fading Channel 29
3.3.3 Gray Mapping versus Anti-Gray Mapping 30
4 Turbo-BLAST with Interblock Memory 33
4.1 The Turbo-BLAST Configuration with Interblock Memory 34
4.1.1 Encoding 34
4.1.2 Decoding 35
4.2 Performance Simulation comparing with the original Turbo-BLAST system 37
4.2.1 Over Block Fading Channel 37
4.2.2 Over Fast-Fading Channel 41
4.2.3 Gray Mapping versus Anti-Gray Mapping 42
4.3 Conclusion 43
5 LDPC Coded MIMO with Interblock Memory 45
5.1 Basic of LDPC code 46
5.1.1 Representations of LDPC codes 46
5.1.2 Iterative Decoding Algorithm 48
5.1.3 Log-Domain SPA Decoder 50
5.2 LDPC structure for MIMO Channel Model by using Interblock Memory 52
5.2.1 Basic structure for MIMO fading channel 52
5.2.2 LDPC structure with an Interblock Memory 56
5.3 Simulation Results 59
6 Conclusions 61
Bibliography 63
dc.language.isoen
dc.subject多輸入zh_TW
dc.subject區碼zh_TW
dc.subject天線zh_TW
dc.subject渦輪zh_TW
dc.subjectturboen
dc.subjectinterblock memoryen
dc.subjectmimoen
dc.title具區碼記憶之渦輪多輸入天線系統zh_TW
dc.titleTurbo Coded MIMO with Interblock Memoryen
dc.typeThesis
dc.date.schoolyear93-2
dc.description.degree碩士
dc.contributor.oralexamcommittee蘇育德,趙啟超,蘇賜麟,鐘嘉德
dc.subject.keyword區碼,渦輪,多輸入,天線,zh_TW
dc.subject.keywordturbo,mimo,interblock memory,en
dc.relation.page65
dc.rights.note未授權
dc.date.accepted2005-07-14
dc.contributor.author-college電機資訊學院zh_TW
dc.contributor.author-dept電信工程學研究所zh_TW
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