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博碩士論文 etd-0912108-020611 詳細資訊
Title page for etd-0912108-020611
論文名稱
Title
在超寬頻通道下接收機設計之研究
A Study on Receiver Design in the Ultra-Wide Band Channels
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
98
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2008-07-31
繳交日期
Date of Submission
2008-09-12
關鍵字
Keywords
干擾消除、犁耙接收機、超寬頻系統
UWB system, Rake receiver, Interference cancellation
統計
Statistics
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中文摘要
超寬頻無線系統為一室內5到10公尺高速傳輸的無線通訊系統,因此訊號將遭遇到室內密集性多重路徑通道(Dense Multipath Channels)。倘若面對密集的多重路徑通道時,展頻碼正交特性不佳,將受到強烈的符際間干擾(Inter-Symbol Interference, ISI),本篇論文將討論各種接收機在面對強大的符際間干擾時效能變化。犁耙接收機(Rake Receiver)可以收集散佈於通道的能量,但同時也納入因展頻碼非正交所產生的強烈干擾。最小均方誤差(Minimum Mean Square Error, MMSE)等化器雖然可以很成功地收集通道上的能量和抑制符際間干擾,但其運算複雜度太高。本篇論文是將干擾消除和犁耙接收機結合,我們將利用干擾消除來提升犁耙接收機的效能,若干擾消除在犁耙接收機之前,我們將此方法稱為ISIC RAKE;若干擾消除在犁耙接收機之後,我們將稱之為RAKE ISIC。我們將過去位元和下一個位元所造成的干擾消去,若為多使用者狀態時,我們不只減去使用者自己前後位元產生的符際間干擾,也消去其他使用者所產生的多重存取干擾(Multi-Access Interference, MAI)。由模擬結果顯示我們所提的方法效能會比傳統犁耙接收機好,且與最小均方線性等化器(LMS Linear Equalizer)相仿,但擁有較低的運算複雜度。
Abstract
Ultra-wideband (UWB) system is an indoor communication system, high data rate transmission within 5-10m transmitted range. This system suffers from high dense multipath channels impairment. If the spreading code is not orthogonal in dense multipath channels, severe inter-symbol interference (ISI) will degrade the system performance. In this thesis, we will discuss the performance of various receivers in ultra-wideband channels.
Rake receiver can collect signal energy from different multipath. However, the imperfect orthogonal property of spreading code will cause severe ISI and degrade the performance of Rake receiver. Least mean square (LMS) chip equalizer not only combines the energy from different multipath, but also suppresses ISI. But, the complexity is too high to realize.
In this thesis, we combine Rake receiver with ISI canceller to enhance system performance. If the canceller is before Rake receiver, we define it as ISIC RAKE. If the canceller is behind Rake receiver, we define it as RAKE ISIC. In the ISI canceller, not only ISI caused by preceding bits is cancelled, but also the ISI caused by following bit is cancelled. In multiuser cases, we are also canceling multi-access interference (MAI). From simulation results, the proposed method outperforms conventional Rake receiver, Rake receiver combined with LMS symbol equalizer, and LMS chip equalizer. The complexity of proposed method is lower than LMS chip equalizer.
目次 Table of Contents
誌謝 i
摘要 ii
Abstract iii
目錄 iv
圖索引 vii
表索引 xiii
第一章 簡介 1
1.1 研究動機 1
1.2 各章提要 3
第二章 系統架構 4
2.1 系統架構 4
2.2 通道模型 6
第三章 接收機架構 9
3.1 犁耙接收機(Rake Receiver) 9
3.2 最小均方誤差等化器(MMSE Equalizer) 11
3.2.1 最小均方線性等化器(LMS Linear Equalizer) 12
3.2.2 最小均方決策回授等化器(LMS Decision Feedback Equalizer) 15
3.3 RAKE LMS Receiver 16
3.4 ISIC RAKE 和RAKE ISIC 17
3.4.1 ISIC RAKE 17
3.4.2 干擾消除位元數之探討 20
3.4.3 多使用者況狀下之延伸 23
3.4.4 RAKE ISIC 26
3.5 複雜度計算 28
3.5.1 最小均方線性等化器之複雜度計算 28
3.5.2 最小均方決策回授(LMS DFE)等化器之複雜度計算 29
3.5.3 犁耙接收機 複雜度計算 30
3.5.4 RAKE LMS之複雜度計算 30
3.5.5 ISIC RAKE複雜度計算 31
3.5.6 RAKE ISIC複雜度計算 32
3.5.7 複雜度綜合比較 34
第四章 系統模擬 37
4.1 系統模擬環境設定 37
4.2 犁耙接收機 38
4.2.1 有符際間干擾的狀況下 38
4.2.2 沒有符際間干擾的狀況下 41
4.3 最小均方線性切片等化器(LMS Linear Chip Equalizer) 44
4.4 RAKE LMS Receiver 47
4.5 ISIC RAKE Receiver 60
4.6 RAKE ISIC Receiver 65
4.7 單使用者效能的綜合比較 71
4.8 多使用者狀況下,ISIC RAKE效能 74
第五章 結論 82
參考文獻 83
參考文獻 References
[1] IEEE 802.15 SG3a, “DS-UWB physical layer submission to 802.15 task group 3a,” IEEE P802.15-04/0137r4, Jan. 2005.
[2] IEEE 802.15 SG3a, “Channel modeling sub-committee report final,” IEEE P802.15-02/490r1-SG3a, Feb. 2003.
[3] I. Bergel, E. Fishler, and H. Messer, “Narrowband interference mitigation in impulse radio,” IEEE Trans. Commun., VOL. 53 NO. 8, pp. 1278-1282, Aug. 2005.
[4] J. wang and W. T. Tung, “Narrowband interference suppression in time-hopping impulse radio ultra-wideband communications,” IEEE Trans. Commun., VOL. 54, NO. 6, pp. 1057-1067, June 2006.
[5] Q.-H. Li and L. A. Rusch, “Multiuser detection for DS-CDMA UWB in the home environment,” IEEE J. Sel. Areas Commun., vol. 20, no. 9, pp. 1701-1711, Dec. 2002.
[6] T. S. Rappaport, Wireless Communications Principles and Practice, 2nd Edition. Upper Saddle River, NJ: Prentice Hall PTR, 2002.
[7] S. Haykin, Adaptive Filter Theory, 4th Edition. Upper Saddle River, NJ: Prentice Hall PTR, 2002.
[8] J. E. Smee and S. C. Schwartz, “Adaptive feedforward/feedback architectures for multiuser detection in high data rate wireless CDMA networks,” IEEE Trans. Commun., vol. 48, no. 6, pp. 996-1011, June 2000.
[9] P. A. Voois and J. M. Cioffi, “The effect of decision delay in finite-length decision feedback equalization,” IEEE Trans. Inform. Theory, vol. 42, no. 2, pp. 618-621, Mar. 1996.
[10] M. Eslami and X. Dong, “Rake-MMSE-equalizer performance for UWB,” IEEE Comm. Letters, vol. 9, no. 6, pp. 502-504, June 2005.
[11] A. Parihar, L. Lampe, R. Schober, and C. Leung, “Analysis of equalization for DS-UWB systems,” in IEEE Inter. Conf. Ultra-Wideband, pp. 170- 175, Sept. 2005.
[12] G. Xue, J. Weng, T. Le-Ngoc, and S. Tahar, “Adaptive multistage parallel interference cancellation for CDMA,” IEEE J. Sel. Areas Commun., vol. 17, no. 10, pp. 1815-1827, Oct. 1999.
[13] Y.-T. Hsieh and W.-R. Wu, “Optimal two-stage decoupled partial PIC receivers for multiuser detection,” IEEE Trans. Wireless Commun., vol. 4, no. 1, pp. 112-127, Jan. 2005.
[14] D. W. Matolak and B. Wang, “Efficient statistical parallel interference cancellation for DS-CDMA in Rayleigh fading channels,” IEEE Trans. Wireless Commun., vol. 6, no. 2, pp. 566-574, Feb. 2007.
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