本文選題：帶寬測量 + 卡爾曼濾波器��； 參考：《電子科技大學》2015年碩士論文

【摘要】：帶寬測量在網絡信息領域中是一項非常重要的技術。它通過測量出網絡路徑在單位時間內能傳輸的最大數據量,來指導網絡系統(tǒng)的Qo S管理,擁塞控制,以及路由選擇訪問等。2006年,Ekelin S,Nilsson M等研究學者提出了在帶寬測量領域中使用卡爾曼濾波器的測量方法BART,在保持高測量精度的同時,提高了對變化環(huán)境的跟蹤性能,不僅擴大了算法的使用條件,也大幅度降低了計算功耗。2008年,采用了BART設計思路的基于概率模型的ABEST算法也被提出,拓展了卡爾曼濾波器在帶寬測量領域的使用。不過,在BART和ABEST中均只提出了卡爾曼濾波器的使用方法,當鏈路環(huán)境改變時,若使用相同的參數設置則可能導致測量的結果會千差萬別。本文在研究卡爾曼濾波器的過程中,先以BART算法為基礎,通過模型,理論,實驗分析,引入了卡爾曼濾波器的自適應參數設定,提高了算法對不同鏈路環(huán)境的適應性,并提高測量的精度和跟蹤性能。接著以研究ABEST算法為基礎,根據標準狀態(tài)方程的完整性,提出了動態(tài)狀態(tài)方程的改進思路,設計了雙探測流發(fā)包策略,提高了算法的跟蹤性能。為了補充卡爾曼濾波器在帶寬測量領域中的應用,以及考慮結合兩種改進算法,本文在基于探測間隔模型IGI中,建立卡爾曼濾波器以脫離對鏈路容量C的依賴,并嘗試將自適應參數設定和動態(tài)狀態(tài)方程結合起來,進一步提高卡爾曼濾波器系統(tǒng)的測量精度,跟蹤性能,穩(wěn)定性,以及實用性。
[Abstract]:Bandwidth measurement is a very important technology in the field of network information. It can direct QoS management and congestion control of network system by measuring the maximum amount of data that network path can transmit in unit time. In 2006, Ekelin Schion Nilsson M and other researchers put forward a measurement method, Bart, which uses Kalman filter in bandwidth measurement field, which not only keeps high measurement accuracy, but also improves the tracking performance of changing environment. In 2008, a probabilistic model based ABEST algorithm based on BART was proposed, which extends the use of Kalman filter in bandwidth measurement. However, in both BART and ABEST, only the Kalman filter is used. When the link environment changes, if the same parameters are used, the measurement results may vary greatly. In this paper, based on BART algorithm, the adaptive parameter setting of Kalman filter is introduced through model, theory and experiment analysis, which improves the adaptability of the algorithm to different link environment. And improve the measurement accuracy and tracking performance. Then, based on the research of ABEST algorithm, according to the integrity of the standard equation of state, the improved idea of dynamic state equation is put forward, and a dual-probe packet sending strategy is designed to improve the tracking performance of the algorithm. In order to supplement the application of Kalman filter in bandwidth measurement and to consider two improved algorithms, in this paper, based on the detection interval model (IGI), a Kalman filter is established to get rid of the dependence on link capacity C. The adaptive parameter setting and dynamic state equation are combined to improve the measurement accuracy, tracking performance, stability and practicability of Kalman filter system.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TN713

【參考文獻】

相關期刊論文 前1條

1 黃佳慶,楊宗凱,杜旭;第k條最大可用帶寬路徑算法[J];計算機學報;2004年03期

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本文編號：1805068