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研究生:陳俊諺
研究生(外文):Jiunn-Yann Chen
論文名稱:適用於盲目的調適性波束形成器之低複雜度對稱限制最大事後機率演算法
論文名稱(外文):Low-Complexity Symmetry-Constrained Maximum-A-Posteriori Probability Algorithm for Adaptive Blind Beamforming
指導教授:賀嘉律
指導教授(外文):Chia-Lu Ho
學位類別:碩士
校院名稱:國立中央大學
系所名稱:通訊工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2013
畢業學年度:101
語文別:中文
論文頁數:55
中文關鍵詞:最大事後機率恆模數演算法波束形成企濾波器
外文關鍵詞:Maximum-a-posteriori probability estimationconstant modulus algorithmbeamformingfiltering
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  • 被引用被引用:0
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在本篇論文中,我們提出了一個適用於並行調適性濾波器的實數對稱限制最大事後機率演算法(CMA+RSC-MAP),首先將先介紹如何去推導出這個在盲目演算法中最大事後機率演算法具有的共軛對稱限制的最佳權重解,接下來我們利用這個共軛對稱限制的最佳權重解去導出這篇論文所提出的演算法,並且利用調適的方式讓權重能夠趨近於這個最佳權重解。最後在模擬的結果中,我們也會呈現出CMA+RSC-MAP演算法確實擁有比目前新型的並行調適性濾波器還要更好的效能。與原本的CMA+SC-MAP演算法相比,CMA+RSC-MAP演算法確實擁有跟CMA+SC-MAP演算法一樣好的效能,並且擁有更低的運算複雜度。
In this paper, we propose a real-valued SC-MAP (RSC-MAP) algorithm for concurrent adaptive filter (CAF) applied to beamforming. We first contribute to deriving a closed-form optimal weight expression for blind MAP algorithm. A conjugate symmetric property associated with optimal blind MAP weights is further acquired. Then, we use the conjugate symmetric constraint to guide the proposed RSC-MAP algorithms to follow the optimal blind MAP expression form during adapting procedure. In the simulations, we show that the proposed RSC-MAP algorithms have better performance than the classic ones. Compared with SC-MAP, the RSC-MAP with less computational complexity has the same bit-error rate performance.
摘 要 i
Abstract ii
目 錄 iv
圖 目 錄 vi
表 目 錄 viii
第一章 緒論 (Introduction) 1
第二章 智慧型天線 (Smart Antenna) 3
2-1等距線性天線陣列通道模型(ULA) 5
2-2 盲目演算法與並行調適性濾波器用於波束形成器(Blind Concurrent Adaptive Filter for beamformer) 7
2-2.1 星座點演算法 (Reduced Constellation Algorithm) 10
2-2.3 恆模數演算法 (Constant Modulus Algorithm) 11
2-2.2 多模數演算法 (Multi-Modulus Algorithm) 13
2-2.4 恆模數與硬式決策演算法 (Constant Modulus Algorithm and Decision Directed Algorithm) 15
2-2.5 恆模數與最大事後機率演算法 (Constant Modulus Algorithm and Maximum-A-Posterior Probability Algorithm) 17
第三章 對稱限制最大事後機率演算法 (Symmetric-Constraint MAP Probability Algorithms) 21
3-1 盲目最大事後機率演算法最佳權重 (Optimum Weight Expression of Blind MAP Algorithm) 22
3-2 對稱限制最大事後機率演算法(Symmetric-Constraint MAP Algorithm) 26
3-3 實數對稱限制最大事後機率演算法(Real-Valued Symmetric-Constraint MAP Algorithm) 29
第四章 模擬結果 (Simulation results) 36
4-1 系統模擬架構(Simulation System) 36
4-2 非動態環境(Non-Dynamic Environment) 37
收斂速度比較(Convergence-Rate Comparison) 37
4-3 動態環境(Dynamic Environment) 44
收斂速度比較(Convergence-Rate Comparison) 44
4-3 複雜度分析(Complexity Analyses) 50
結論 (Conclusion) 52
參考文獻 (Reference) 53



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[17] N. Xie, H. Hu, and H. Wang, “A new hybrid blind equalization algorithm with steady-state performance analysis,” Digit. Signal Prog., vol. 22, pp. 233-237, 2012.
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[22] Jiunn-Yann Chen, Yao-Jen Chang, Chia-Lu Ho, “Interference and Noise Cancellation Based on Complex/Real-Valued Blind Maximum-A-Posteriori Probability Algorithms with Symmetric Constraint”. AIT 7th con, pp.7, Chaoyang University of Technology, Taichung city, Taiwan, April 2013
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