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論文名稱 Title |
放大後傳送合作式系統下結合通道偵測與資料檢測機制 Combined Channel Estimation and Data Detection for AF Cooperative Communication Systems |
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系所名稱 Department |
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畢業學年期 Year, semester |
語文別 Language |
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學位類別 Degree |
頁數 Number of pages |
40 |
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研究生 Author |
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指導教授 Advisor |
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召集委員 Convenor |
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口試委員 Advisory Committee |
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口試日期 Date of Exam |
2012-06-13 |
繳交日期 Date of Submission |
2012-08-07 |
關鍵字 Keywords |
放大後傳送、非線性區塊碼、結合通道估測與資料檢測、頻率選擇性衰減、模擬退火 simulated annealing, frequency-selective fading, joint channel estimation and data detection, amplify-and-forward (AF), nonlinear block code |
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統計 Statistics |
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中文摘要 |
本篇論文係研究在放大後傳送(amplify-and-forward, AF) 合作式系統裡面, 將結合 通道估測與資料檢測機制應用於接收端設計上; 另外, 本篇論文亦探討適用此系統的非線 性區塊碼的碼簿建構方式。此論文的合作式系統考慮接收端的接收訊號會受到多重路徑 的影響, 且假設接收端未知通道係數資訊, 引入結合通道估測與資料檢測方法解碼, 並透 過編碼機制的限制, 使系統達到全散度(full diversity) 的特性。最後會探討適用此系統 模式的編碼策略, 引入已知的近似方法來逼近資料錯誤率, 取之為上限值做為編碼策略, 做為模擬退火演算法的依據, 產生適用於此合作式系統的非線性區塊碼。最後的數值模 擬將驗證此機制下產生的碼簿可達到全散度增益(full diversity gain) , 且比較將設計的 碼簿應用於此系統的資料錯誤率會優於其他解碼機制。 |
Abstract |
In this thesis, the problem of data transmission in amplify-and-forward (AF) co- operative system which implemented joint channel estimation and data detection at the destination (receiver) is considered. The nonlinear block code is designed to as- sist the above methodology. The design criterion takes into account the uncertainty of channel parameters at the receiver based on joint channel estimation and data detection algorithm and the simulations will prove that it can achieve full diversity that is offered by multiple relay and frequency-selective fading channel. Using an approximation of the union boun on the error probability as the design criterion, such that it can be simulated as a function for simulated annealing algorithm. The designed codewords are applied to the AF cooperative system. In order to assess the performance of joint estimation and detection fashion, the numerical simulations will be carried out the word error rate (WER) performances illustrate that improve- ment over differnt benchmark schemes can be obtained. |
目次 Table of Contents |
摘要. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v 1 Introduction 1 2 System Description 5 2.1 Models and Assumptions . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.2 Joint Estimation and Detection . . . . . . . . . . . . . . . . . . . . . 9 3 Code Design 12 3.1 Computing the Pairwise Error Probability . . . . . . . . . . . . . . . 12 3.2 Design Criterion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.3 Simulated Annealing . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4 Numerical Results 18 5 Conclusion 28 |
參考文獻 References |
[1] L. Tong and S. Perreau, “Multichannel blind identification: From subspace to maximum likelihood methods,” Proc. IEEE, vol. 86, no. 10, pp. 1951–1968, October 1998. [2] B. C. Ng, D. Gesbert, and A. Paulraj, “A semi-blind approach to structured channel equalization,” Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing , pp. 3385–3388, May 1998. [3] E. de Carvalho and D. Slock, “Semi-blind maximum-likelihood multi-channel estimation with gaussian prior for the symbols using soft-decisions,” Proc. IEEE Vehicular Technology Conf., pp. 1563–1567, May 1998. [4] Y.-S. Choi, P. J. Voltz, and F. A. Cassara, “On channel estimation and detection for multicarrier signals in fast and selective rayleigh fading channels,” IEEE trans. Commun., vol. 49, no. 8, pp. 1375–1387, August 2001. [5] M. Skoglund, J. Giese, and S. Parkvall, “Code design for combined channel estimation and erro protection,” IEEE trans.Information Theory, vol. 48, no. 5, pp. 1162–1171, May 2002. [6] J. Giese and M. Skoglund, “Single- and multiple-antenna constallations for communication over unknown frequency-selective fading channels,” IEEE trans.Information Theory, vol. 53, no. 4, pp. 1584–1594, April 2007. [7] C.-L. Wu, P.-N. Chen, Y.-S. Han, and M.-H. Kuo, “Maximum-likelihood priority-first search decodable codes for combined channel estimation and er- ror correction,” IEEE trans.Information Theory, vol. 55, no. 9, pp. 1584–1594, September 2009. [8] I. Kammoun and M. Siala, “Map channel estimation for alamouti-based coop- erative networks,” Personal, Indoor and Mobile Radio Communications, 2008. PIMRC 2008. IEEE 19th International Symposium, pp. 1–5, September 2008. [9] A. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications . New York: Cambridge University Press, 2003. [10] Y.-W. P. Hong, W.-J. Huang, and C.-C. J. Kuo, Cooperative Communications and Networking: Technologies and System Design. Boston, MA: Springer Verlag, 2010. [11] S. M. Kay, Fundamentals of Statistical Signal Processing, Volume 2: Detection Theory. NJ: Prentice Hall: Upper Saddle River, 1998. [12] S. H. Friedberg, A. J. Insel, and L. E. Spence, Linear Algebra. New Jersey: Upper Saddle River, 2003. [13] N. O’Donoughue and J. M. F. Moura, “On the product of independent complex gaussians,” IEEE Trans. on Signal Processing, vol. 60, no. 3, pp. 1050–1063, March 2012. [14] H. Art’es, D. S. G. Matz, and F. Halawatsch, “Space-time multicarrier matrix modulation for unknown dispersive mimo channels,” Proc. 39th Annu. Allerton Conf. Commun., Contr. Comput., October 2001. [15] M. Brehler and M. K. Varanasi, “Asymptotic error probability analysis of quadratic receivers in rayleigh-fading channels with applications to a unified analysis of coherent and noncoherent space-time receivers,” IEEE trans.Information Theory, vol. 47, no. 6, pp. 2383–2399, September 2001. [16] S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, “Optimization by simulated annealing,” Science, vol. 220, pp. 671–680, May 1983. [17] A. E. Gamal, L. A. Hemachandra, I. Shperline, and V. K.Wei, “Using simulated annealing to design good codes,” IEEE trans.Information Theory, vol. IT-33, no. 1, pp. 116–123, January 1987. [18] S. Lin and D. J. Costello, Error Control Coding (2nd Edition). Prentice Hall, 2004. |
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