本文選題：電離層 + 全球定位系統(tǒng)�。� 參考：《電子科技大學(xué)》2015年碩士論文

【摘要】：隨著現(xiàn)代通信技術(shù)的迅猛發(fā)展,使得許多科學(xué)技術(shù)在研究和應(yīng)用中都必須考慮電離層對(duì)無(wú)線(xiàn)電波的影響。近年來(lái)全球?qū)Ш叫l(wèi)星系統(tǒng)(GNSS)的應(yīng)用幾乎滲透進(jìn)了科學(xué)研究的各個(gè)領(lǐng)域,在研究如何消除GNSS中來(lái)自電離層誤差的同時(shí),GNSS也為電離層研究提供了一個(gè)新的方向。其中在電離層研究中最具代表性的便是GNSS中的全球定位系統(tǒng)(GPS)的應(yīng)用。針對(duì)這種情況,本文利用GPS對(duì)高精度實(shí)時(shí)區(qū)域電離層建模與短期預(yù)報(bào)進(jìn)行了研究。具體研究?jī)?nèi)容有四部分:1.研究了電離層的相關(guān)特性。由于電離層的內(nèi)部變化相當(dāng)復(fù)雜,要對(duì)電離層進(jìn)行研究就要了解電離層的相關(guān)特性。因此,本文首先研究了電離層的分層結(jié)構(gòu)及其異�，F(xiàn)象,并利用實(shí)測(cè)數(shù)據(jù)分析了影響電子含量(TEC)的因素。然后介紹了在電離層研究中需要用到的基礎(chǔ)知識(shí)。2.研究了實(shí)時(shí)區(qū)域高階電離層延遲模型的建模方法。當(dāng)前的電離層延遲模型大多僅考慮一階項(xiàng)的影響,未將高階項(xiàng)的影響加入模型當(dāng)中,導(dǎo)致模型的精度無(wú)法滿(mǎn)足精密測(cè)量和定位的需求。針對(duì)這種情況,本文分析了電離層高階項(xiàng)對(duì)衛(wèi)星信號(hào)的影響,并利用偽距觀測(cè)值和多項(xiàng)式函數(shù)模型推導(dǎo)出高階電離層延遲模型的觀測(cè)方程。同時(shí),對(duì)模型建立過(guò)程中每個(gè)階段要采用的算法進(jìn)行了研究和分析,從而保證模型的高精度性和實(shí)時(shí)性。在求解地磁場(chǎng)矢量時(shí),本文利用曲面擬合方法取代復(fù)雜的國(guó)際參考地磁場(chǎng)模型計(jì)算方法,從而達(dá)到了簡(jiǎn)化計(jì)算的目的。在此基礎(chǔ)上,最終建立了高階電離層延遲模型并通過(guò)實(shí)測(cè)數(shù)據(jù)證明了模型的高精度性。3.研究了基于組合思想的區(qū)域電離層短期預(yù)報(bào)模型的建模方法。作者在傳統(tǒng)ARMA模型的基礎(chǔ)上提出利用組合預(yù)報(bào)理論對(duì)TEC進(jìn)行短期預(yù)報(bào)。針對(duì)序列的特性,本文將全年分為四個(gè)時(shí)段,并選取季節(jié)模型和ARMA模型對(duì)相應(yīng)的序列特性進(jìn)行分析,最終建立了組合預(yù)報(bào)模型。最后通過(guò)實(shí)例證明了組合模型的短期預(yù)報(bào)效果整體優(yōu)于傳統(tǒng)ARMA模型以及所提出的組合預(yù)報(bào)方法是不受時(shí)間和地理位置限制的。4.研究了區(qū)域電離層延遲和短期預(yù)報(bào)仿真軟件的設(shè)計(jì)和開(kāi)發(fā)。該軟件為區(qū)域高階電離層延遲的計(jì)算和電離層TEC的短期預(yù)報(bào)提供了方便。
[Abstract]:With the rapid development of modern communication technology, the influence of ionosphere on radio waves must be considered in the research and application of many science and technology. In recent years, the application of GNSS (Global Navigation Satellite system) has penetrated almost every field of scientific research. While studying how to eliminate the errors from ionosphere in GNSS, it also provides a new direction for ionospheric research. The application of GPS (Global Positioning system) in GNSS is the most representative in ionospheric research. In this paper, GPS is used to study the high precision real time ionospheric modeling and short term prediction. There are four parts: 1. The related characteristics of the ionosphere are studied. Because the internal variation of the ionosphere is very complicated, it is necessary to understand the characteristics of the ionosphere in order to study the ionosphere. Therefore, the stratified structure of the ionosphere and its anomalous phenomena are studied in this paper, and the factors affecting the electron content (TECs) are analyzed by using the measured data. Then the basic knowledge used in ionospheric research. 2. 2. The modeling method of high order ionospheric delay model in real time region is studied. Most of the current ionospheric delay models only consider the influence of the first order term, and the influence of the higher order term is not added to the model, which results in the precision of the model can not meet the needs of precision measurement and positioning. In this paper, the influence of ionospheric higher-order terms on satellite signals is analyzed, and the observation equations of higher-order ionospheric delay models are derived by using pseudo-range observations and polynomial function models. At the same time, the algorithms used in each stage of model establishment are studied and analyzed to ensure the high accuracy and real time of the model. In solving the geomagnetic field vector, this paper uses the curved surface fitting method to replace the complicated international reference geomagnetic field model calculation method, thus achieving the purpose of simplifying the calculation. On this basis, the high-order ionospheric delay model is established and the high accuracy of the model is proved by the measured data. The modeling method of regional ionospheric short-term prediction model based on combinatorial theory is studied. Based on the traditional ARMA model, the author proposes to use the combined forecasting theory to predict the TEC in the short term. According to the characteristics of the series, the whole year is divided into four periods, and the seasonal model and the ARMA model are selected to analyze the characteristics of the corresponding sequence. Finally, the combined prediction model is established. Finally, it is proved that the short-term prediction effect of the combined model is better than that of the traditional ARMA model, and that the combined forecasting method is not limited by time and geographical location. The design and development of simulation software for regional ionospheric delay and short term prediction are studied. The software is convenient for the calculation of high-order ionospheric delay and the short-term prediction of ionospheric TEC.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：TN967.1

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 萬(wàn)衛(wèi)星;寧百齊;劉立波;丁鋒;毛田;李國(guó)主;熊波;;中國(guó)電離層TEC現(xiàn)報(bào)系統(tǒng)[J];地球物理學(xué)進(jìn)展;2007年04期

相關(guān)碩士學(xué)位論文 前1條

1 范勝軍;顧及地磁場(chǎng)影響的電離層高階項(xiàng)改正算法研究[D];武漢大學(xué);2005年

，

本文編號(hào)：1982440