本文選題：GPS + 原子鐘��； 參考：《長安大學(xué)》2017年碩士論文

【摘要】：在全球?qū)Ш较到y(tǒng)中,想要獲得精確的定位,那首先要實現(xiàn)精確的時間測定。也就是說,要建立高準(zhǔn)確度和高穩(wěn)定度的原子頻標(biāo)和時間系統(tǒng)成為了高精度導(dǎo)航定位的關(guān)鍵之處。原子鐘作為目前世界上最準(zhǔn)確的計時工具,同時也是衛(wèi)星導(dǎo)航系統(tǒng)有效載荷的核心部分,它的穩(wěn)定性性能直接決定了導(dǎo)航定位和時頻傳遞的精度的提高[8];本文首先對GPS鐘差序列進行了長期的特性分析,給出衛(wèi)星鐘的相位、頻率、頻漂以及穩(wěn)定度的計算模型。除此之外,由于鐘差預(yù)報是實現(xiàn)時間同步的重要基礎(chǔ),所以在研究中及實際中,很有必要建立高精度的衛(wèi)星鐘差預(yù)報模型,這從另一方面決定了衛(wèi)星導(dǎo)航定位的準(zhǔn)確度及精確度。由此,本文根據(jù)原子鐘時頻特性的相關(guān)理論和研究成果,詳細(xì)探究了星載原子鐘時頻特性,以及在衛(wèi)星鐘差預(yù)報模型中發(fā)現(xiàn)的若干值得探索的問題[23]。本文主要研究內(nèi)容和成果包括:(1)首先對于GPS在軌衛(wèi)星各類原子鐘,有BLOCK IIR-M和BLOCK IIR,BLOCK IIA、BLOCK IIF,采用常用的二次多項式模型擬合得到衛(wèi)星鐘差模型,從而根據(jù)相關(guān)公式得到了GPS在軌衛(wèi)星鐘的相位、頻率、頻漂以及殘差序列,下一步依次計算了Cs鐘和Rb鐘的穩(wěn)定度指標(biāo),本文采用的是重疊哈達瑪方差,進一步揭示了GPS在軌衛(wèi)星鐘的相位、頻率、頻漂及殘差指標(biāo)的變化規(guī)律;發(fā)現(xiàn)GPS BLOCK IIF型衛(wèi)星鐘穩(wěn)定度最高,其次是GPS BLOCK IIR-M和BLOCK IIR型Rb鐘[27],然后是GPS BLOCK IIA型Cs鐘。穩(wěn)定度最差的是GPS BLOCK IIA型Rb鐘。(2)在預(yù)報6小時的短期預(yù)報中,首先使用較少的已知數(shù)據(jù),本文采用了24個歷元建模,在預(yù)報精度方面,二次多項式模型預(yù)報效果比線性模型的預(yù)報精度和灰色系統(tǒng)模型的預(yù)報精度都要差一些;之后使用144個歷元作為已知數(shù)據(jù)建模,不難發(fā)現(xiàn)這三種預(yù)報模型的預(yù)報精度差別不大,任選其中一種方法均可[24]。從另一個角度,通過對比預(yù)報24小時的預(yù)報精度,可知預(yù)報誤差隨著預(yù)報時間的加長而增大。綜上所述,灰色系統(tǒng)模型作為預(yù)報模型,它的很重要的一個優(yōu)點就是使用較少的已知數(shù)據(jù),而可以得到較高的預(yù)報精度。隨著預(yù)報時間的增長或者預(yù)報歷元數(shù)的增加,灰色模型預(yù)報精度明顯比二次多項式方法的預(yù)報精度好得多,說明二次多項式模型有一個明顯的缺點就是它的的誤差積累特性[13]。這些初步的、經(jīng)驗型的結(jié)論對實時精密單點定位衛(wèi)星鐘差預(yù)報具有一定的參考價值和借鑒意義[14]。
[Abstract]:In a global navigation system, accurate time measurement is the first thing to achieve. That is to say, the establishment of high accuracy and high stability atomic frequency standard and time system has become the key point of high precision navigation and positioning. Atomic clock is the most accurate timing tool in the world, and it is also the core part of the payload of satellite navigation system. Its stability performance directly determines the accuracy of navigation positioning and time-frequency transmission [8]. In this paper, the long-term characteristics of the GPS clock difference sequence are analyzed, and the calculation models of the phase, frequency, frequency drift and stability of the satellite clock are given. In addition, because the clock difference prediction is an important basis for time synchronization, it is necessary to establish a high-precision satellite clock difference prediction model in the research and practice. This, on the other hand, determines the accuracy and accuracy of satellite navigation and positioning. Therefore, based on the relevant theories and research results of the time-frequency characteristics of atomic clocks, the time-frequency characteristics of space-borne atomic clocks are discussed in detail, as well as some problems worth exploring in the satellite clock difference prediction model [23]. The main contents and achievements of this paper include: (1) first of all, for various atomic clocks of GPS satellites in orbit, there are BLOCK IIR-M and BLOCK IIR BLOCK IIAA BLOCK IIFs. The satellite clock difference model is obtained by fitting the commonly used quadratic polynomial model. The phase, frequency, frequency drift and residual error sequence of GPS satellite clock in orbit are obtained according to the correlation formula. The stability indexes of Cs clock and RB clock are calculated in turn. The overlapping Hadamard variance is used in this paper. The changes of phase, frequency, frequency drift and residual error of GPS satellite clock in orbit are further revealed. It is found that the stability of GPS BLOCK IIF satellite clock is the highest, followed by GPS BLOCK IIR-M and BLOCK IIR RB clock [27], and then GPS BLOCK IIA Cs clock. The worst stability is the GPS BLOCK IIA RB clock. 2) in the short term prediction of 6 hours, less known data are first used. In this paper, 24 epoch models are used, and the prediction accuracy is obtained. The prediction accuracy of quadratic polynomial model is worse than that of linear model and grey system model. Either method is optional [24]. From another point of view, by comparing the prediction accuracy of 24 hours, we can see that the prediction error increases with the increase of forecast time. In conclusion, as a prediction model, grey system model has the advantage of using less known data and obtaining higher prediction accuracy. With the increase of forecasting time or the number of epochs, the prediction accuracy of grey model is much better than that of quadratic polynomial method. It shows that the quadratic polynomial model has an obvious disadvantage, which is its error accumulation property [13]. These preliminary and empirical conclusions have certain reference value and significance for the prediction of satellite clock difference in real time precise single point positioning [14].
【學(xué)位授予單位】：長安大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P228.4

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