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  • 學位論文

利用粒子群聚最佳化演算法提昇多模組記憶匯流排之訊號完整性

Enhancement of Signal Integrity for Multi-Module Memory Bus by Particle Swarm Optimization

指導教授 : 林丁丙

摘要


中央處理單元與多模組記憶匯流排之間傳輸速率高達1.6GB/s,緊密排列的訊號線之間彼此耦合干擾,其奇、偶模態下特徵阻抗不同將導致阻抗不匹配,透過眼圖可觀察到推動過度或是推動不足致使眼圖高度縮小的情形。而奇、偶模態的相速度不一致導致訊號抵達接收端的相位不同步,在眼圖邊緣發生抖動嚴重導致眼圖的寬度縮小、訊號被破壞的情形。 本論文中,提升訊號完整性有兩個步驟:首先,求出傳輸線的奇、偶模特徵阻抗計算各端埠的散射參數,定義粒子群聚最佳化演算法的適應函數,反射量越小越好、傳輸量越大越好,藉由調整傳輸線特徵阻抗與終端電阻使各端埠阻抗匹配,改善推動過度與推動不足的情形;第二個步驟是減少眼圖的抖動,在相鄰線之間加入補償電容可降低奇模態的傳播相速度,使訊號抵達接收端的相位與偶模態接近,透過眼圖結果可證實粒子群聚最佳化演算法可有效的提升多模組記憶匯流排之訊號完整性。

並列摘要


參考文獻


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被引用紀錄


盧譔宇(2011)。應用粒子群聚最佳化法提昇不規則形狀電源分佈系統之功率完整性〔碩士論文,國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2011.00079

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