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論文名稱 Title |
使用結合能量和循環性穩態檢測器的分散式偵測法於感知無線電中的功率頻譜偵測之應用 A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio |
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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 |
29 |
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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 |
2009-06-05 |
繳交日期 Date of Submission |
2009-07-01 |
關鍵字 Keywords |
感知網路、融合中心、頻譜偵測 cognitive, fusion center, spectrum sensing |
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統計 Statistics |
本論文已被瀏覽 5739 次,被下載 2354 次 The thesis/dissertation has been browsed 5739 times, has been downloaded 2354 times. |
中文摘要 |
在本論文中,我們考慮頻譜感知網路的問題。我們提出一個具有強健性的決策融 合法則,這個法則可以在干擾存在時依然運行良好。明確地說,我們提出了將能 量檢測器和循環性穩態檢測器決策結果利用融合中心融合的頻譜偵測法則。這個 提出的融合法則和其它使用同一類檢測器的決策法則在融合中心融合的功率頻 譜偵測技術有著很大的不同。我們提出的結合架構同時具有能量檢測器和循環性 穩態檢測器的優點。將這篇論文中提出的頻譜偵測架構和其他使用同一種類檢測 器的頻譜偵測架構比較後,結果顯示本論文提出的方法更能抵抗可能存在著的干 擾。 |
Abstract |
In this thesis, the problem of spectrum sensing in cognitive radio communication networks is considered. This thesis has developed a robust decision fusion scheme that can perform well when the interference caused by other PUs is present. Specifically, the proposed detection scheme is based on fusing the local decisions from energy detectors (EDs) and cyclostationarity- based detectors (CDs). Our proposed fusion scheme is different from other power spectrum sensing technology being developed so far in that other fusion technology are based on fusing the local decisions from the same type of detectors. Our proposed fusion scheme can take the advantage of both EDs and CDs. We compare the proposed scheme with the schemes fusing the same type of detectors, and the results confirm that the proposed scheme is more robust against the possible interference. |
目次 Table of Contents |
1 Introduction 1 1.1 Overview . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Spectrum Sensing Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.3 Research Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.4 Thesis Contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 1.5 Thesis Organization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 2 Spectrum sensing methods for cognitive radio 5 2.1 Energy Detector Based Sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2.1.1 Energy Detection Characterization . . . . . . . . . . . . . . . . . . . . . 5 2.1.2 Approximation of Gaussian distribution for large N . . . . . . . . . . . . 6 2.2 Cyclostationarity-Based Sensing . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 Decision Fusion Using ED and CD for Power Spectrum Sensing 12 3.1 Network operation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2 Decision fusion with ED and CD . . . . . . . . . . . . . . . . . . . . . . . . . . 12 3.2.1 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4 Conclusion 20 |
參考文獻 References |
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