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題 名 | Algorithms for QAM Signal Classification Using Maximum Likelihood Approach Based on the Joint Probability Densities of Phases and Amplitudes=基於相位及振幅聯合機率密度函數之最大概似QAM訊號調變型態分類演算法 |
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作 者 | 楊耀波; 張振寧; 劉智群; 劉慶華; | 書刊名 | 中正嶺學報 |
卷 期 | 32:1(A) 民92.11 |
頁 次 | 頁127-139 |
分類號 | 448.5 |
關鍵詞 | 正交振幅調變; 調變型態分類; 概似函數; QAM; Signal classification; Maximum likelihood; |
語 文 | 英文(English) |
中文摘要 | 本論文提出最大概似函數為基礎之M準位正交振幅調變(M-ary QAM) 型態分類法則。首先,依據接收訊號的振幅和相位及其聯合機率密度函數,我們推導三種測試統計並且據之發展三種QAM分類器。其次,我們說明所提出之分類器架構,接著經由理論探討與計算機模擬,分析、比較這三種分類器的性能。此外,本論文所提出之分類器也同時與由Yang[1] 等人所提的分類器進行性能比較。研究結果顯示,以聯合機率密度函數為基礎所發展之分類器,其性能較另二者為佳,其在低訊雜比的環境中仍具有相當優異的性能表現。此外,結果也指出,分類器性能跟樣本數目的多寡和接收訊號之訊雜比大小有直接的關係。 |
英文摘要 | In this paper, we proposed three maximum likelihood-based algorithms for classifying the modulation type of M-ary QAM signals. Firstly, we derived the required test statistics and developed three classifiers for QAM signal classification based on the probability density functions (PDF) of amplitudes and phases of received signals. Secondly, We manifested the structures of the proposed classifier, analyzed and compared their performances in terms of the probability of successful classification using both theoretical analysis and computer simulations. In addition, we also compared with the classifier proposed by Yang et al [1]. Results indicate that the classifier based on the joint PDF is superior in performance to other classifiers and works very well even in low signal-to-noise ratio environment. Furthermore, the performances of all the classifiers are shown to be proportional to the number of samples and signal-to-noise ratios. |
本系統中英文摘要資訊取自各篇刊載內容。