本文選題：GPS定位精度 + 對流層延遲��； 參考：《中南大學》2013年碩士論文

【摘要】：對流層延遲是制約GPS定位精度提高的主要誤差源之一。在實際測量工作中,通常采用模型法進行消除,但是由于氣象代表性誤差及氣象元素測定誤差的影響,導致對對流層延遲的預測精度不高,并最終限制GPS的測量精度。差分測量在應用中也較常見,但在地形復雜多變,氣象元素差異較大區(qū)域會帶來很大的殘余對流層延遲,對定位結果有很大影響。為提高小范圍區(qū)域對流層延遲的預測精度,滿足較高精度測量需求,本文對香港區(qū)域內的對流層延遲進行分析建模。具體工作如下： 1.對現(xiàn)有的對流層延遲處理方法進行總結和對比,簡述其建立方法。 2.運用Bernese軟件解算出香港區(qū)域CORS網12個基站多年的天頂對流層延遲值,對其在時間上的變化規(guī)律進行分析,得出各個基站的天頂總延遲值具有年周期特性。根據該區(qū)域各基站天頂總延遲值在空間上的梯度變化值,建立起基于BP神經網絡的區(qū)域對流層延遲時空模型,并與現(xiàn)有的經驗模型進行對比。 3.通過對香港區(qū)域干濕延遲的時空分析,得出其具有不同的時空特征,根據干濕延遲不同特征,建立起相應的干濕延遲時空模型,并與現(xiàn)有的經驗模型進行對比。 4.為證明所建立模型的有效性,利用新模型以及現(xiàn)有的定位程序實現(xiàn)對觀測數據的預處理功能,最終通過定位表明新模型比現(xiàn)有模型的定位精度提高2厘米左右。 5.簡要分析了在一些特殊天氣條件下對流層干濕延遲隨氣候變化情況,并得出了一些有益的結論。圖24幅,表21個,參考文獻66個。
[Abstract]:Tropospheric delay is one of the main error sources that restrict the accuracy of GPS positioning.In the practical measurement work, the model method is usually used to eliminate it, but because of the influence of the meteorological representative error and the measurement error of meteorological elements, the prediction accuracy of tropospheric delay is not high, and the precision of GPS measurement is limited.Differential measurement is also common in application, but in the complex terrain, the difference of meteorological elements will bring a large residual tropospheric delay, which has a great impact on the location results.In order to improve the prediction accuracy of tropospheric delay in a small area and to meet the requirement of high precision measurement, the tropospheric delay in Hong Kong region is analyzed and modeled in this paper.The specific work is as follows:1.The existing tropospheric delay processing methods are summarized and compared.2.The zenith tropospheric delay of 12 base stations in Hong Kong CORS network is calculated by using Bernese software. The variation law of the time is analyzed and the annual periodicity of the total zenith delay of each base station is obtained.According to the spatial gradient of the total zenith delay of each base station in this region, a time-space model of regional tropospheric delay based on BP neural network is established and compared with the existing empirical model.3.Through the spatiotemporal analysis of dry-wet delay in Hong Kong, it is found that it has different space-time characteristics. According to the different characteristics of dry-wet delay, the corresponding space-time model of dry-wet delay is established and compared with the existing empirical model.4.In order to prove the validity of the established model, the preprocessing function of the observed data is realized by using the new model and the existing positioning program. Finally, the positioning accuracy of the new model is improved by about 2 cm compared with the existing model.5.In this paper, we briefly analyze the variation of dry-wet delay in troposphere with climate under some special weather conditions, and draw some useful conclusions.There are 24 figures, 21 tables and 66 refs.
【學位授予單位】：中南大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：P228.4

【參考文獻】

相關期刊論文 前10條

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本文編號：1737260