傳感器數據存在隨機一步延遲的線性無偏估計

在網絡環境中，當信號或數據經網絡傳輸時，時常會出現具有隨機性的時滯或延遲現象。針對這一情況，當觀測數據存在有不超過一個采樣周期的隨機延遲時，本文研究了動態系統的濾波器設計問題。首先，通過狀態進行擴維的方法將已建立的動態系模型改寫成新的模型，從而克服了已有方法中存在的不足；然后，基于新模型開展了濾波器設計的研究，建立的新濾波器除了能有效地解決原有濾波器設計中存在的局限性，通過計算機仿真實驗能發現，在相同條件下，新建立的濾波器在性能上還具有一定的優勢。

In network, randomly time-delayed or time-tagged situation often occurs, when date or signal is transmitted through network. On the basis of this case ,this paper studied the filter design for a dynamic model with one-step sensor delay .First, rewrite the previous dynamic model into a new one by using the method of augmenting state ,in order to compensate for the deficiency existing in previous algorithms ,Then ,based on this new model ,establish new filters and thus effectively solve the problem of filter design in original paper; Also, it is showed through simulation that in same conditions ,the modified filter has superiority in precision.