傳感器數(shù)據(jù)存在隨機(jī)一步延遲的線性無(wú)偏估計(jì)

傳感器數(shù)據(jù)存在隨機(jī)一步延遲的線性無(wú)偏估計(jì)

在網(wǎng)絡(luò)環(huán)境中，當(dāng)信號(hào)或數(shù)據(jù)經(jīng)網(wǎng)絡(luò)傳輸時(shí)，時(shí)常會(huì)出現(xiàn)具有隨機(jī)性的時(shí)滯或延遲現(xiàn)象。針對(duì)這一情況，當(dāng)觀測(cè)數(shù)據(jù)存在有不超過(guò)一個(gè)采樣周期的隨機(jī)延遲時(shí)，本文研究了動(dòng)態(tài)系統(tǒng)的濾波器設(shè)計(jì)問題。首先，通過(guò)狀態(tài)進(jìn)行擴(kuò)維的方法將已建立的動(dòng)態(tài)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(shè)計(jì)的研究，建立的新濾波器除了能有效地解決原有濾波器設(shè)計(jì)中存在的局限性，通過(guò)計(jì)算機(jī)仿真實(shí)驗(yàn)?zāi)馨l(fā)現(xiàn)，在相同條件下，新建立的濾波器在性能上還具有一定的優(yōu)勢(shì)。

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.