本文選題：電離層 + GPS�。� 參考：《長(zhǎng)安大學(xué)》2013年博士論文

【摘要】：電離層是近地空間環(huán)境的重要組成部分，電離層的研究可以促進(jìn)人們認(rèn)識(shí)日地空間系統(tǒng)的整體行為，進(jìn)而更好地為人類的空間活動(dòng)服務(wù)，因此電離層的研究具有重要的意義。近年來，隨著人類空間活動(dòng)和衛(wèi)星通訊系統(tǒng)的增多，對(duì)電離層各種變化特征及規(guī)律（尤其是時(shí)空變化）的監(jiān)測(cè)和反演的需求也越來越強(qiáng)烈。 目前，利用GPS解算電離層總電子含量（Total Electron Content,TEC）已經(jīng)成為監(jiān)測(cè)電離層活動(dòng)的主要技術(shù)，而國(guó)內(nèi)外大大小小不同尺度、密度的連續(xù)運(yùn)行GPS觀測(cè)站網(wǎng)為電離層的局域、區(qū)域、全球特性研究提供了平臺(tái)。國(guó)際GNSS服務(wù)中心（InternationalGNSS Service,IGS）從1998年開始提供每天的全球電離層TEC分布圖（Global IonosphereMap，縮寫為GIM），，但是IGS各數(shù)據(jù)處理中心發(fā)布的電離層IONEX文件在時(shí)間和空間上的分辨率都不高，由于在中國(guó)范圍內(nèi)IGS的觀測(cè)站數(shù)目不多，因此它的精度也不理想，并且IONEX文件并不是GPS特定的格式,它是非GPS用戶使用IGS電離層產(chǎn)品的一種接口。因此通過建立一個(gè)區(qū)域的GPS觀測(cè)站網(wǎng)，利用實(shí)時(shí)的GPS電離層觀測(cè)數(shù)據(jù)建立電離層模型，監(jiān)測(cè)、現(xiàn)報(bào)/預(yù)報(bào)電離層活動(dòng)，可以為區(qū)域內(nèi)單頻GPS用戶提供電離層延遲改正信息。本文正是基于這一背景，在西安地區(qū)選取4個(gè)GPS雙頻觀測(cè)站網(wǎng)，采用kalman濾波對(duì)電離層的時(shí)空變化實(shí)時(shí)監(jiān)測(cè)，并且選擇地質(zhì)統(tǒng)計(jì)學(xué)中常用的kriging方法重構(gòu)了西安區(qū)域電離層TEC地圖。 本文的主要研究工作和成果如下： 1.系統(tǒng)研究了GIPSY (GNSS-Inferred Positioning System)中周跳探測(cè)與修復(fù)的Turboedit算法，在此基礎(chǔ)上對(duì)TurboEdit方法的周跳探測(cè)條件進(jìn)行分析，對(duì)于該方法中每一歷元之前的所有寬巷模糊度整體求平均的方法，采用滑動(dòng)平均的方法替代，同時(shí)在電離層殘差組合中，采用了相鄰歷元的載波相位電離層殘差組合求差的方法，從而避免引入觀測(cè)噪聲較大的偽距電離層殘差組合。實(shí)驗(yàn)表明：改進(jìn)后的TurboEdit法對(duì)于發(fā)生在觀測(cè)數(shù)據(jù)質(zhì)量不好的周跳、Turboedit法的探測(cè)盲點(diǎn)以及頻繁周跳的探測(cè)能力都有所提高。 2.進(jìn)行傾斜路徑電離層實(shí)時(shí)提取時(shí)，利用偽距提取的TEC P修正載波相位提取TEC的方法，實(shí)例結(jié)果表明：修正后的電離層TEC與偽距提取的傾斜路徑電離層TECP吻合較好，能夠反映出的偽距觀測(cè)提取電離層TEC P的趨勢(shì)走向，但是修正后的電離層TEC數(shù)據(jù)更加平滑、集中；采用切比雪夫（Chebyshev）多項(xiàng)式對(duì)GPS衛(wèi)星軌道進(jìn)行擬合內(nèi)插；計(jì)算了電離層穿刺點(diǎn)的位置坐標(biāo)。 3.采用Kalman濾波估計(jì)出每個(gè)觀測(cè)歷元的電離層模型系數(shù)以及測(cè)站和衛(wèi)星的硬件延遲，達(dá)到了實(shí)時(shí)監(jiān)測(cè)電離層活動(dòng)的目的。將GPS觀測(cè)數(shù)據(jù)直接解算的電離層TEC與kalman濾波算法處理后的垂直TEC進(jìn)行比較，結(jié)果表明：kalman濾波解算的電離層垂直TEC能夠?qū)崟r(shí)反映電離層TEC的活動(dòng)變化。 4.采用Kriging方法對(duì)西安區(qū)域電離層TEC地圖進(jìn)行了重構(gòu)，并通過CODE分析中心提供的最終TEC產(chǎn)品對(duì)本文解算結(jié)果進(jìn)行了驗(yàn)證，結(jié)果表明本文解算結(jié)果與CODE的結(jié)果基本相當(dāng)。
[Abstract]:The ionosphere is an important part of the near earth space environment. The study of ionosphere can promote people to understand the overall behavior of the solar terrestrial space system and serve the human space activities better. Therefore, the study of the ionosphere is of great significance. In recent years, with the increase of human space activities and satellite communication systems, the ionosphere has been applied to the ionosphere. The demand for monitoring and inversion of various change characteristics and laws, especially spatio-temporal changes, is also increasing.
At present, using GPS to calculate Total Electron Content (TEC) has become the main technology to monitor the activity of the ionosphere, and the continuous operation of GPS observation station network of density is a platform for the study of the local, regional and global characteristics of the ionosphere. The international GNSS Service Center (InternationalGNSS). Service, IGS) has provided a daily global ionospheric TEC distribution map (Global IonosphereMap, abbreviated as GIM) from 1998, but the resolution of the ionospheric IONEX files issued by the IGS data processing centers is not high in time and space. Because the number of IGS observation stations in China is low, its accuracy is not ideal, and I is not ideal. And I ONEX file is not a specific GPS format, it is an interface for non GPS users to use IGS ionospheric products. So by establishing a GPS observation station network in a region, using real-time GPS ionospheric observation data to establish the ionospheric model, monitoring, present / forecast ionospheric activities, which can be considered as a single frequency GPS user in the region to provide the ionospheric delay. Based on this background, this paper selects 4 GPS dual frequency Observatory networks in Xi'an area, uses Kalman filtering to monitor the spatio-temporal changes of the ionosphere in real time, and reconstructs the TEC map of the ionosphere in the Xi'an region by selecting the Kriging method commonly used in geostatistics.
The main research work and achievements of this paper are as follows:
1. systematically studies the Turboedit algorithm for detecting and repairing the cycle jump in GIPSY (GNSS-Inferred Positioning System). On this basis, the detection conditions of the cycle jump of the TurboEdit method are analyzed. The method of averaging all the wide alley ambiguities before each epoch in this method is replaced by a sliding mean method and at the same time in the electricity. In the residual residual combination, the difference combination method of the carrier phase ionosphere residual combination of adjacent epochs is adopted to avoid the introduction of the pseudo range ionosphere residual combination with large observation noise. The experiment shows that the improved TurboEdit method is for the week jump, the blind spot of the Turboedit method and the frequent cycle jump in the poor observation data quality. The detection ability has been improved.
2. in the real-time extraction of the inclined path ionosphere, the method of extracting TEC from the carrier phase of the pseudo distance extracted TEC P is used. The example shows that the corrected ionosphere TEC is in good agreement with the pseudo distance extraction of the inclined path ionosphere TECP, and can be reflected by the pseudo distance observation to extract the trend trend of the ionospheric TEC P, but the corrected ionization is used. The layer TEC data are more smooth and concentrated, and the GPS satellite orbit is interpolated with Chebyshev (Chebyshev) polynomials, and the position coordinates of the ionospheric puncture point are calculated.
3. the Kalman filter is used to estimate the ionosphere model coefficient of each observation epoch and the hardware delay of the station and satellite. The purpose of real-time monitoring of the ionospheric activity is achieved. The ionospheric TEC calculated directly by the GPS observation data is compared with the vertical TEC processed by the Kalman filtering algorithm. The results show that the ionosphere is calculated by Kalman filtering. Vertical TEC can reflect the changes of ionospheric TEC in real time.
4. the Kriging method is used to reconstruct the Xi'an regional ionosphere TEC map, and the final TEC product provided by the CODE analysis center is verified by the results of this paper. The results show that the results of this paper are basically equivalent to the results of CODE.

【學(xué)位授予單位】：長(zhǎng)安大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2013
【分類號(hào)】：P352;P228.4

【引證文獻(xiàn)】

相關(guān)期刊論文 前1條

1 劉鵬華;姚堯;梁昊;梁兆堂;張亞濤;王昊松;;耦合卡爾曼濾波和多層次聚類的中國(guó)PM_(2.5)時(shí)空分布分析[J];地球信息科學(xué)學(xué)報(bào);2017年04期

相關(guān)碩士學(xué)位論文 前4條

1 徐玉健;克里金內(nèi)插方法和電離層延遲改正模型研究[D];中國(guó)地質(zhì)大學(xué)(北京);2016年

2 王旭峰;基于GPS/BDS導(dǎo)航系統(tǒng)電離層建模研究[D];中國(guó)礦業(yè)大學(xué);2016年

3 張U

本文編號(hào)：1893966