本文選題：衛(wèi)星鐘性能　切入點(diǎn)：鐘差預(yù)報　出處：《西安電子科技大學(xué)》2013年碩士論文

【摘要】：衛(wèi)星鐘是衛(wèi)星導(dǎo)航系統(tǒng)的核心，衛(wèi)星鐘的性能及鐘差預(yù)報是影響導(dǎo)航定位精度的關(guān)鍵因素，自主導(dǎo)航系統(tǒng)及精密單點(diǎn)定位系統(tǒng)主要靠高精度的衛(wèi)星鐘差預(yù)報進(jìn)行導(dǎo)航定位，衛(wèi)星鐘的性能分析是高精度鐘差預(yù)報的基礎(chǔ)。 本文系統(tǒng)地研究了衛(wèi)星鐘性能的指標(biāo)表征體系，詳細(xì)分析時域穩(wěn)定度的各類方差，并明確了其適用范圍。從地面模擬和在軌運(yùn)行兩方面分析了衛(wèi)星鐘性能，首先，針對影響原子鐘輸出頻率的各類因素，結(jié)合經(jīng)驗公式和地面環(huán)境實測數(shù)據(jù)，通過最小二乘方法確定了時間、光強(qiáng)、溫度、銣信號、磁場強(qiáng)度等對頻率的影響系數(shù)，并發(fā)現(xiàn)光強(qiáng)與漂移、鐘壽命有直接關(guān)系；其次，對衛(wèi)星鐘差在軌數(shù)據(jù)分析，剔除其整體趨勢后，發(fā)現(xiàn)衛(wèi)星鐘差數(shù)據(jù)具有明顯的周期性。 研究二次多項式、kalman濾波及灰色模型三種算法的預(yù)測效果，，分析比較其優(yōu)缺點(diǎn)，結(jié)果表明：kalman濾波具有較好的短期預(yù)測效果，二次多項式適合中長期預(yù)測，而灰色模型則更適合于長期預(yù)測。針對衛(wèi)星鐘噪聲特性，改進(jìn)了kalman的噪聲方差矩陣。此外，根據(jù)鐘差數(shù)據(jù)的周期性，提出了二次多項式加周期項的預(yù)報模型，利用譜分析方法確定該模型中的周期項，并從理論上推導(dǎo)周期項對二次多項式預(yù)報算法的改進(jìn)性能。
[Abstract]:Satellite clock is the core of satellite navigation system. The performance of satellite clock and the prediction of clock difference are the key factors that affect the accuracy of navigation and positioning. Autonomous navigation system and precision single point positioning system mainly rely on high-precision prediction of satellite clock difference for navigation and positioning.The performance analysis of satellite clock is the basis of high precision clock difference prediction.In this paper, the index system of satellite clock performance is systematically studied, the variances of time-domain stability are analyzed in detail, and the applicable range is defined.The performance of satellite clock is analyzed from two aspects: ground simulation and on-orbit operation. Firstly, the time and intensity of the satellite clock are determined by the least square method according to the various factors affecting the output frequency of the atomic clock, combined with the empirical formula and the measured data of the ground environment.The effects of temperature, rubidium signal and magnetic field intensity on the frequency are found to be directly related to the drift and clock lifetime. Secondly, the satellite clock difference in orbit data is analyzed and its overall trend is eliminated.It is found that satellite clock difference data have obvious periodicity.This paper studies the prediction effect of quadratic polynomial kalman filter and grey model algorithm, and analyzes and compares its advantages and disadvantages. The results show that the two-order polynomial filter has better short-term prediction effect, and quadratic polynomial is suitable for medium and long term prediction.Grey model is more suitable for long-term prediction.Aiming at the noise characteristics of satellite clock, the noise variance matrix of kalman is improved.In addition, according to the periodicity of clock difference data, a prediction model of quadratic polynomial plus periodic term is proposed. The periodic term in the model is determined by spectral analysis method, and the improved performance of periodic term on quadratic polynomial prediction algorithm is derived theoretically.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2013
【分類號】：P228.1

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