使用Kalman濾波器調(diào)整預(yù)測(cè)值的時(shí)間尺度算法
發(fā)布時(shí)間:2019-04-12 14:31
【摘要】:時(shí)間尺度算法用于綜合鐘組內(nèi)所有的原子鐘,建立一個(gè)頻率穩(wěn)定度更高的時(shí)間尺度,其核心環(huán)節(jié)可以概括為通過(guò)N-1組觀測(cè)量(鐘差)計(jì)算得到N臺(tái)鐘的權(quán)重和預(yù)測(cè)值。傳統(tǒng)算法主要關(guān)注如何調(diào)整權(quán)重來(lái)提高時(shí)間尺度的穩(wěn)定度,本文算法通過(guò)調(diào)整預(yù)測(cè)值來(lái)提高時(shí)間尺度的穩(wěn)定度。本文算法使用Kalman濾波器對(duì)觀測(cè)鐘差進(jìn)行狀態(tài)估計(jì),在Kalman濾波器每一次遞推的過(guò)程中,調(diào)整一次預(yù)測(cè)值,通過(guò)每次實(shí)時(shí)調(diào)整預(yù)測(cè)值來(lái)建立時(shí)間尺度。理論推導(dǎo)和仿真實(shí)驗(yàn)都表明,本文建立的時(shí)間尺度濾除了頻率白噪聲,主要只含有頻率隨機(jī)游走噪聲,所以具有很高的中短期穩(wěn)定度。該時(shí)間尺度是一個(gè)連續(xù)、實(shí)時(shí)、可預(yù)測(cè)的時(shí)間尺度。
[Abstract]:The time scale algorithm is used to synthesize all the atomic clocks in the clock group and establish a time scale with higher frequency stability. The core link of the algorithm can be summarized as the calculation of the weight and prediction value of the N clock by the measurement (clock error) of the Nm 1 set of observations. The traditional algorithm mainly focuses on how to adjust the weight to improve the stability of the time scale. In this paper, we adjust the predictive value to improve the stability of the time scale. In this paper, the Kalman filter is used to estimate the state of the observed clock error. In each recursive process of the Kalman filter, the predicted value is adjusted once, and the time scale is established by adjusting the predicted value each time in real time. Theoretical derivation and simulation experiments show that the time scale filter proposed in this paper contains only frequency random walk noise, so it has high short-term and medium-term stability. The time scale is a continuous, real-time, predictable time scale.
【作者單位】: 國(guó)防科學(xué)技術(shù)大學(xué)電子科學(xué)與工程學(xué)院;
【分類(lèi)號(hào)】:P228.4
,
本文編號(hào):2457101
[Abstract]:The time scale algorithm is used to synthesize all the atomic clocks in the clock group and establish a time scale with higher frequency stability. The core link of the algorithm can be summarized as the calculation of the weight and prediction value of the N clock by the measurement (clock error) of the Nm 1 set of observations. The traditional algorithm mainly focuses on how to adjust the weight to improve the stability of the time scale. In this paper, we adjust the predictive value to improve the stability of the time scale. In this paper, the Kalman filter is used to estimate the state of the observed clock error. In each recursive process of the Kalman filter, the predicted value is adjusted once, and the time scale is established by adjusting the predicted value each time in real time. Theoretical derivation and simulation experiments show that the time scale filter proposed in this paper contains only frequency random walk noise, so it has high short-term and medium-term stability. The time scale is a continuous, real-time, predictable time scale.
【作者單位】: 國(guó)防科學(xué)技術(shù)大學(xué)電子科學(xué)與工程學(xué)院;
【分類(lèi)號(hào)】:P228.4
,
本文編號(hào):2457101
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