Responsive image
博碩士論文 etd-1015107-212628 詳細資訊
Title page for etd-1015107-212628
論文名稱
Title
以自相關函數為基礎的訊雜比估測
Autocorrelation Based SNR Estimation
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
106
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
2007-06-28
繳交日期
Date of Submission
2007-10-15
關鍵字
Keywords
曲線配適、訊雜比估測、自相關
SNR estimation, autocorrelation, curve fitting
統計
Statistics
本論文已被瀏覽 5655 次,被下載 0
The thesis/dissertation has been browsed 5655 times, has been downloaded 0 times.
中文摘要
訊雜比 ( signal-to-noise ratio,SNR ) 估測是無線通訊中重要的研究課題之一,因為許多接收端的演算法藉由訊雜比的資訊可以獲得最佳的性能表現。在本篇論文中提出一個以自相關函數為基礎的訊雜比估測器,其主要是利用符號序列的相關性以及雜訊的無相關性 ( uncorrelated ) 來將訊號功率從接收訊號裡區分出來,其中會使用曲線配適 ( curve fitting ) 的方式來作為一個訊號功率的估測器。
所提出的方法將經由電腦模擬來跟傳統的訊雜比估測器作性能上的比較,在本篇論文的模擬中會考慮在一可加性白色高斯雜訊 ( additive white Gaussian noise,AWGN ) 通道下調變方式為二位元相位鍵移 ( binary phase-shift keying,BPSK )、8-陣列相位鍵移 ( 8-ary phase shift keying,8-PSK )、16-陣列正交振幅調變 ( 16-ary quadrature amplitude modulation,16-QAM ) 以及64-QAM的情形。最後將討論所提出的方法在瑞雷 ( Rayleigh ) 衰減 ( fading ) 通道中的情況。由模擬的結果可以看到所提出的方法可以在平均值與均方誤差上比傳統估測器好。
Abstract
Signal-to-noise ratio (SNR) estimation is one of the important research topics in wireless
communications. In the receiver, many algorithms require SNR information to achieve optimal performance. In this thesis, an autocorrelation based SNR estimator is proposed. The proposed method utilizes the correlation properties of symbol sequence and the uncorrelated properties of noise sequence to distinguish the signal power from the received signal. Curve fitting method is used for SNR estimator to predict the signal power.
Mean and variance performance of the proposed SNR estimator is compared with that of the conventional SNR estimator by computer simulations. These simulations consider additive white Gaussian noise and multipath Rayleigh fading channel with BPSK, 8PSK, 16QAM and 64QAM modulation schemes. According to the simulation results, the proposed method can provide better performance than conventional methods in both mean and mean-square-error.
目次 Table of Contents
誌謝 i
摘要 ii
Abstract iii
目錄 iv
圖索引 vi
第一章 簡介 1
第二章 訊雜比估測演算法 4
2.1 訊雜比估測器的系統模型 4
2.1.1 訊雜比估測器的訊號模型 4
2.2 訊雜比估測器的基本原理 6
2.2.1 最大相似訊雜比估測器 7
2.2.2 動差法訊雜比估測器 10
2.2.3 絕對值動差法訊雜比估測器 11
2.2.4 線性預測法訊雜比估測器 15
第三章 使用訊號相關性的訊雜比估測演算法 18
3.1 系統模型 18
3.2 訊雜比估測器推導 19
3.3 訊雜比估測器在不同調變情況下 27
3.3.1 正交相位鍵移 ( QPSK ) 27
3.3.2 8-陣列相位鍵移 ( 8-PSK ) 27
3.3.3 16-陣列正交振幅調變 ( 16-QAM ) 30
3.3.4 64-陣列正交振幅調變 ( 64-QAM ) 32
3.4 演算法流程 35
3.4.1 離散訊號表示 35
3.4.2 演算法流程化簡 36
3.4.3 演算法參數 37
3.5 結合低通濾波器的訊雜比估測器 38
3.5.1 低通濾波器的考量 39
3.6 訊雜比估測器在瑞雷衰減通道的討論 43
3.6.1 在瑞雷衰減通道的自相關函數 43
第四章 系統模擬 52
4.1 接收端取樣速率與配適係數個數的影響 52
4.2 不同濾波器階數與截止頻率的影響 58
4.3 不同符號數量的性能比較 63
4.4 多種不同調變方式的性能比較 68
4.5 時間同步誤差的影響 76
4.6 在瑞雷衰減通道下的性能 80
4.7 不同傳送波形的影響 89
第五章 結論 94
參考文獻 95
參考文獻 References
[1] R. M. Gagliardi and C. M. Thomas, “PCM data reliability monitoring through estimation of signal-to-noise ratio,” IEEE Trans. Commun., vol. COM-16, pp. 479-486, June 1968.
[2] T. R. Benedict and T. T. Soong, “The joint estimation of signal and noise from the sum envelope,” IEEE Trans. Inform. Theory, vol. IT-13, pp. 447-454, July 1967.
[3] D. R. Pauluzzi and N. C. Beaulieu, “A comparison of SNR estimation techniques for the AWGN channel,” IEEE Trans. Commun., vol. 48, pp. 1681-1691, Oct. 2000.
[4] B. Li, R. DiFazio, and A. Zeira, “A low bias algorithm to estimate negative SNRs in an AWGN channel,” IEEE Commun. Lett., vol. 6, no. 11, pp. 469-471, Nov. 2002.
[5] B. Li, R. A. DiFazio, A. Zeira, and P. J. Pietraski, “New results on SNR estimation of MPSK modulated signals,” in Proc. IEEE PIMRC, vol. 3, pp. 2373-2377, Sept. 2003.
[6] T. A. Summers and S. G.. Wilson, “SNR mismatch and online estimation in Turbo decoding,” IEEE Trans. Commun., vol. 46, no. 4, pp. 421-423, Apr. 1998.
[7] Hua Xu and Hui Zheng, “The simple SNR estimation algorihms for MPSK signals,” in Proc. IEEE ICSP, vol. 2, pp. 1781-1785, Aug. 2004.
[8] F. Brannstrom and L. K. Rasmussen, “Non-data-aided parameter estimation in an additive white Gaussian noise channel,” in Proc. IEEE Int. Symp. Inf. Theory, pp. 1446-1450, Sept. 2005.
[9] Hua Xu, Zupeng Li, and Hui Zheng, “A non-data-aided SNR estimation algorithms for QAM signals,” in Proc. IEEE ICCCAS, vol. 2, pp. 999-1003, June 2004.
[10] A. Wiesel, J. Goldberg, and H. Messer, “Non-data-aided signal-to-noise-ratio estimation,” in Proc. IEEE ICC, vol. 1, pp. 197-201, 2002.
[11] N. Kamel and V. Joeti, “Linear prediction-based approach to SNR estimation in AWGN channel,” in Proc. 23rd Biennial Symposium on Communications, pp. 287-290, May 2006.
[12] D. Sui and Ge Lindong, “On the blind SNR estimation for IF signals,” in Proc. First Int. Conf. on Innovative Computing, Information and Control, pp. 374-378, Aug. 2006.
[13] S. M. Kay, Fundamentals of Statistical Signal Processing-Estimation Theory. Englewood Cliffs, NJ: Prentice-Hall, 1993.
[14] G. L. Stuber, Principles of Mobile Communication, 2nd ed., Boston: Kluwer, 2001.
[15] J. G. Proakis, Digital Communications, 4th ed. Boston: McGraw-Hill, 2001.
[16] I. Sasase, K. Feher, and S. Mori. “Asymmetrical pulse shaped QPSK modulation system,” IEEE Trans. Commun., vol. COM-33, pp. 1146-1150, Oct. 1985.
[17] W. Therrien, Discrete Random Signals and Statistical Signal Processing, Premtice-Hall, 1992.
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外均不公開 not available
開放時間 Available:
校內 Campus:永不公開 not available
校外 Off-campus:永不公開 not available

您的 IP(校外) 位址是 44.202.128.177
論文開放下載的時間是 校外不公開

Your IP address is 44.202.128.177
This thesis will be available to you on Indicate off-campus access is not available.

紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code