本文選題：多頻多模 + 統(tǒng)一模型��； 參考：《武漢大學(xué)》2013年博士論文

【摘要】：隨著我國BDS系統(tǒng)的運行服務(wù)、GPS與GLONASS系統(tǒng)的現(xiàn)代化,多導(dǎo)航系統(tǒng)(GPS、 GLONASS、Galileo、 BDS等)、多頻率(兩個以上)、多類型(P碼、C碼等)觀測信號是GNSS系統(tǒng)發(fā)展的重要特征與優(yōu)勢。更為豐富的觀測信號、更多類型的地面跟蹤站網(wǎng)資源,需要相應(yīng)的高精度數(shù)據(jù)處理理論方法作為支撐,才能充分發(fā)揮多頻GNSS的優(yōu)勢。然而,現(xiàn)有以GPS雙頻觀測為基礎(chǔ)建立的高精度數(shù)據(jù)處理理論、算法模型以及軟件系統(tǒng)已不能完全滿足多系統(tǒng)多頻高精度數(shù)據(jù)處理的需求,包括IGS組織在內(nèi)的國內(nèi)外研究機構(gòu)都尚未提出完整的解決方案,多系統(tǒng)多頻GNSS高精度數(shù)據(jù)處理已成為衛(wèi)星導(dǎo)航研究領(lǐng)域的熱點問題。 另一方面,我國北斗系統(tǒng)是第一個提供服務(wù)的具有全星座三頻信號調(diào)制的衛(wèi)星導(dǎo)航系統(tǒng),如何充分發(fā)揮三頻觀測的優(yōu)勢,是提升北斗系統(tǒng)競爭力的關(guān)鍵因素之一。對多系統(tǒng)多頻GNSS高精度數(shù)據(jù)處理開展研究,不僅促進北斗系統(tǒng)的應(yīng)用優(yōu)勢,同時將進一步發(fā)揮北斗衛(wèi)星導(dǎo)航系統(tǒng)對GNSS高精度數(shù)據(jù)處理理論方法的貢獻。 本文圍繞實現(xiàn)融合各類導(dǎo)航系統(tǒng)、涵蓋不同頻率信號、兼顧多樣化應(yīng)用需求的高精度數(shù)據(jù)處理的研究目標(biāo)。提出了采用非差非組合觀測量的GNSS多頻高精度數(shù)據(jù)處理理論,建立非差非組合衛(wèi)星鐘差與時延偏差處理方法、非差非組合電離層延遲處理方法、非差非組合整數(shù)模糊度固定方法。研制了多頻GNSS數(shù)據(jù)處理軟件,實現(xiàn)GPS/BDS多系統(tǒng)多頻高精度數(shù)據(jù)處理應(yīng)用。通過對信號時延偏差、鐘差、電離層等網(wǎng)解處理分析以及單站定位精度比較,驗證了非差非組合處理算法模型的靈活性與正確性。本文具體工作和主要貢獻包括： 1.從GNSS原始觀測信號出發(fā),提出定義信號特征性時延偏差,形成時間基準(zhǔn)統(tǒng)一的非差非組合觀測方程,建立了多頻GNSS處理統(tǒng)一數(shù)學(xué)模型表達(dá),論證通過參數(shù)轉(zhuǎn)換與基準(zhǔn)引入實現(xiàn)新模型的特定應(yīng)用,從理論上分析了模型方法的普適性與靈活性。 2.建立了非差非組合衛(wèi)星鐘差與時延偏差處理方法,針對非差非組合模型中鐘差與時延參數(shù)相關(guān)性,提出了滿足最小約束解的模型正則化方法,實現(xiàn)了鐘差與時延偏差去相關(guān)。分析給出了不同頻率觀測值數(shù)據(jù)處理中鐘差與時延偏差產(chǎn)品的組合應(yīng)用方法。比較了基于傳統(tǒng)無幾何距離組合的硬件延遲估計以及基于無電離層組合的衛(wèi)星鐘差估計模型中隱含的基準(zhǔn)條件,論證了其與本文最小約束解基準(zhǔn)條件的兼容性。 3.提出了非差非組合電離層延遲處理方法,該方法綜合顧及電離層頻間約束、時空變化約束以及電離層延遲先驗改正信息,建立單站電離層參數(shù)化模型�；诳臻g統(tǒng)計學(xué)理論確定了單站電離層時空相關(guān)約束的水平梯度與隨機模型,采用虛擬觀測值形式引入先驗電離層模型延遲改正量。從模型上論證了附加電離層先驗信息的非差非組合模型是現(xiàn)有無電離層組合模型的擴展。結(jié)合精密單點定位算例分析,驗證了新模型能顯著提高單/雙頻精密單點定位精度,與無電離層組合算法相比,NEU方向精度提高分別為：單頻47.8%、53.7%以及52.5%；雙頻：16.5%、13.9%以及16.8%；結(jié)合電離層建模算例分析,驗證了中國陸態(tài)與省級CORS網(wǎng)電離層模型,與IGS全球電離層圖比較,精度分別提高50.3%、70.7%。 4.通過對非差非組合模型中UPD和模糊度參數(shù)解空間分析,提出了一種基于迭代處理策略的基準(zhǔn)引入方法,并采用該方法獲得了非差非組合模糊度。在此基礎(chǔ)上,指出需要將其轉(zhuǎn)換為寬巷/窄巷模糊度以避免電離層殘余誤差對模糊度取整及UPD分離影響,推導(dǎo)了三頻/雙頻條件下非差非組合模糊度(UPD)與超寬巷/寬巷/窄巷模糊度(UPD)的相互轉(zhuǎn)換關(guān)系。通過覆蓋中國區(qū)域的GPS UPD估計與非差非組合模糊度固定算例驗證了本文算法的可靠性,其中相對于浮點解,固定解NEU方向定位精度分別提高了5.6%,8.6%以及11%。 5.實現(xiàn)采用非差非組合數(shù)據(jù)處理模型的GPS、BDS實測數(shù)據(jù)處理應(yīng)用,通過基于網(wǎng)解處理模式的未校正偏差估計、高精度衛(wèi)星鐘差解算、區(qū)域電離層建模以及基于單站處理模式的單/雙/三頻浮點解、固定解算例分析,進一步比較驗證了多頻GNSS統(tǒng)一解算模型的優(yōu)越性以及處理軟件的可靠性。
[Abstract]:With the operation service of BDS system in China, the modernization of GPS and GLONASS system, multi navigation system (GPS, GLONASS, Galileo, BDS, etc.), multi frequency (more than two), multi type (P code, C code) observation signal is an important feature and advantage of the development of GNSS system. More abundant observation signals, more types of ground tracking station network resources, need corresponding The high precision data processing theory and method can give full play to the advantages of multi frequency GNSS. However, the existing high precision data processing theory, algorithm model and software system based on GPS dual frequency observation can not fully meet the needs of multi frequency and high-precision data processing, including the domestic and foreign research of IGS organization. Research institutes have not yet put forward a complete solution. Multi system and multi frequency GNSS high precision data processing has become a hot topic in the field of satellite navigation.
On the other hand, the Beidou System in China is the first satellite navigation system with full constellation tri frequency modulation. How to give full play to the advantages of the three frequency observation is one of the key factors to enhance the competitive power of the Beidou system. The research on the multi frequency and multi frequency GNSS high precision data processing not only promotes the application of the Beidou system. At the same time, it will further give play to the contribution of Beidou satellite navigation system to the theory and method of GNSS high precision data processing.
This paper focuses on the research goal of high precision data processing which combines various kinds of navigation systems, covering different frequency signals and taking into account the diverse application requirements. A GNSS multi frequency and high precision data processing theory is proposed, which uses non differential non combinatorial view measurement, and the non differential non combinatorial satellite clock difference and delay deviation processing method and non differential non combinatorial ionization are established. The layer delay processing method, the non differential non combinatorial integer fuzzy degree fixed method. The multi frequency GNSS data processing software is developed to realize the GPS/BDS multi frequency and multi frequency high precision data processing application. Through the analysis of the signal delay deviation, the clock difference, the ionosphere and other network solutions and the single station positioning precision comparison, the non difference non combinatorial processing algorithm model is verified. The specific work and main contributions of this article include:
1. from the original observation signal of GNSS, the characteristic time delay deviation of the signal is defined and the non difference non combination observation equation of the time datum is formed. The expression of the unified mathematical model of the multi frequency GNSS processing is set up, and the specific application of the new model is proved by the parameter conversion and the reference. The universality of the model method is theoretically analyzed. Flexibility.
2. the processing method of clock difference and delay deviation for non differential non combinatorial satellite is established. In view of the correlation between clock difference and time delay parameter in non differential non combinatorial model, a model regularization method is proposed to satisfy the minimum constraint solution. The correlation between clock difference and time delay deviation is realized. The analysis of clock difference and time delay deviation in different frequency data processing is given. The combined application method of the product is used. The hardware delay estimation based on the traditional non geometric distance combination and the reference condition of the satellite clock difference estimation model based on the non ionospheric combination are compared, and the compatibility with the minimum constraint solution base condition of this paper is demonstrated.
3. a non differential non combinatorial ionospheric delay processing method is proposed. This method takes into account the ionospheric frequency constraints, spatio-temporal change constraints and the ionospheric delay prior correction information, and establishes a single station ionospheric parameterized model. Based on the spatial statistics theory, the horizontal gradient and random model of the spatio-temporal correlation constraints of the single station are determined. The model of the transcendental ionosphere model is introduced by the virtual observational value form. The non difference non combinatorial model of the additional ionospheric prior information is proved to be the extension of the existing non ionospheric combination model. It is proved that the new model can improve the precision of single / double frequency precision single point positioning and no ionosphere with the precision single point location analysis. Compared with the combination algorithm, the NEU direction accuracy is improved respectively: single frequency 47.8%, 53.7% and 52.5%; dual frequency: 16.5%, 13.9% and 16.8%. Combined with ionospheric modeling, the model of China land state and provincial CORS network ionosphere is verified. Compared with IGS global ionospheric map, the accuracy is increased by 50.3%, 70.7%., respectively.
4. by analyzing the spatial analysis of UPD and fuzzy parameter solutions in the non differential non combinatorial model, a benchmark introduction method based on iterative processing strategy is proposed, and the non differential non combinatorial fuzzy degree is obtained by this method. On this basis, it is pointed out that it needs to be converted into a wide lane / narrow lane fuzziness to avoid the fuzziness of the ionosphere residual error. The relationship between the non differential non combinatorial fuzzy degree (UPD) with the ultra wide alley / wide lane / narrow lane ambiguity (UPD) under the three frequency / double frequency conditions is derived. The reliability of the algorithm is verified by a fixed calculation example of the GPS UPD estimation and the non difference non combinatorial fuzzy degree covering the Chinese region, which is compared with the floating point solution and the fixed solution of the NEU direction. The positioning accuracy is increased by 5.6%, 8.6%, and 11%., respectively.
5. the application of GPS, BDS measured data processing using non differential non combinatorial data processing model, uncorrected deviation estimation based on net solution processing mode, high precision satellite clock error calculation, regional ionospheric modeling and single / double / triple frequency floating point solution based on single station processing mode, fixed solution example analysis, and further comparison and verification of multi frequency GNSS The advantages of the unified solution model and the reliability of the software are also discussed.
【學(xué)位授予單位】：武漢大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2013
【分類號】：P228.4

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本文編號：1920426