本文關(guān)鍵詞： GNSS 周跳探測(cè) 改進(jìn)算法 抗差擬合 卡爾曼濾波　出處：《安徽理工大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：高精度的GNSS測(cè)量技術(shù)是目前測(cè)量領(lǐng)域的一個(gè)熱點(diǎn)問(wèn)題,隨著GNSS融合技術(shù)數(shù)學(xué)模型的不斷完善,多系統(tǒng)組合定位得到了廣泛的應(yīng)用。目前主要的兩種定位模式是相對(duì)定位和單點(diǎn)定位,要實(shí)現(xiàn)高精度的定位目標(biāo),周跳的探測(cè)與修復(fù)和模糊度的固定問(wèn)題是必須解決的難點(diǎn)問(wèn)題,周跳一直是影響載波觀測(cè)值精度的主要因素之一,鑒于此,本文針對(duì)兩種定位模式的數(shù)據(jù)預(yù)處理中的周跳探測(cè)及修復(fù)問(wèn)題進(jìn)行研究,從非差載波相位觀測(cè)值和雙差載波相位觀測(cè)值模糊度的整周跳變問(wèn)題出發(fā),研究了目前常見(jiàn)GPS周跳探測(cè)方法,并作出了一些算法的改進(jìn),力求能夠解決多系統(tǒng)情況下周跳的探測(cè)與修復(fù)問(wèn)題,本文主要的研究?jī)?nèi)容如下：(1)本文改進(jìn)了多項(xiàng)式擬合的算法,提出基于中位數(shù)先驗(yàn)權(quán)的逐歷元滑動(dòng)窗口的抗差多項(xiàng)式擬合算法,并利用非差觀測(cè)值數(shù)據(jù)驗(yàn)證了算法的可行性。(2)從多系統(tǒng)角度出發(fā),通過(guò)不同觀測(cè)條件下的外業(yè)實(shí)測(cè)數(shù)據(jù),驗(yàn)證了電離層殘差法可以探測(cè)出GPS/GLONASS/BDS系統(tǒng)1周小周跳。(3)改進(jìn)了卡爾曼濾波探測(cè)周跳的算法,提出抗差卡爾曼濾波探測(cè)周跳的算法,并驗(yàn)證了算法的可行性。(4)利用抗差卡爾曼濾波探測(cè)寬巷組合周跳并結(jié)合電離層殘差法,實(shí)現(xiàn)了周跳的探測(cè),能夠滿足非差觀測(cè)值1周的小周跳探測(cè)。(5)從多系統(tǒng)角度出發(fā),提出了周跳的探測(cè)與修復(fù)方法的選取策略。(6)利用C#編程語(yǔ)言,實(shí)現(xiàn)了非差和雙差載波相位觀測(cè)值周跳探測(cè)與修復(fù)的程序設(shè)計(jì)。
[Abstract]:High precision GNSS measurement technology is a hot issue in the field of measurement. With the improvement of mathematical model of GNSS fusion technology, Multi-system integrated positioning has been widely used. At present, the two main positioning modes are relative positioning and single-point positioning. The detection and repair of cycle slips and the fixing of ambiguity are difficult problems to be solved. Cycle slip is one of the main factors that affect the accuracy of carrier observations. In this paper, the cycle slip detection and repair in the data preprocessing of two positioning modes are studied. The whole cycle jump problem of the ambiguity between the non-differential carrier phase observation value and the two-difference carrier phase observation value is discussed. In this paper, the current common GPS cycle slip detection methods are studied, and some algorithms are improved to solve the problem of detecting and repairing the next week slip in multi-system cases. The main research contents of this paper are as follows: 1) the polynomial fitting algorithm is improved in this paper. Based on the median prior weight, the robust polynomial fitting algorithm for epoch-by-epoch sliding window is proposed, and the feasibility of the algorithm is verified by using non-differential observation data. The feasibility of the algorithm is verified from the multi-system point of view, and the field measured data under different observation conditions are used to verify the feasibility of the algorithm. It is verified that the ionospheric residual method can detect the small cycle slip in GPS/GLONASS/BDS system. The algorithm of detecting cycle slip by Kalman filter is improved, and the algorithm of detecting cycle slip with robust Kalman filter is proposed. The feasibility of the algorithm is verified. (4) using robust Kalman filter to detect the combined cycle slip of wide lane and the ionospheric residual method, the cycle slip detection is realized, which can satisfy the small cycle slip detection of one week non-differential observation value. The selection strategy of cycle slip detection and repair method is put forward. Using C # programming language, the program design of detecting and repairing cycle slip of non-differential and double-difference carrier phase observation values is realized.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2016
【分類號(hào)】：P228.4

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本文編號(hào)：1527287