本文關(guān)鍵詞：利用高頻GPS單站數(shù)據(jù)解算同震地表位移關(guān)鍵算法研究　出處：《西南交通大學(xué)》2017年碩士論文　論文類(lèi)型：學(xué)位論文

  更多相關(guān)文章： 高頻GPS數(shù)據(jù) 單站星間單差時(shí)間基線模型 衛(wèi)星鐘差 分段線性插值 周跳 探測(cè)與修復(fù) 同震地表位移

【摘要】：隨著高頻GPS(Global Positioning System)接收機(jī)的逐漸普及,以及采用高頻GPS技術(shù)可直接獲取測(cè)站位移形變等優(yōu)勢(shì),使得高頻GPS技術(shù)在地震學(xué)領(lǐng)域有了廣闊的發(fā)展空間。本文根據(jù)地震發(fā)生時(shí)間很短暫,而短時(shí)間內(nèi)對(duì)流層延遲等誤差強(qiáng)相關(guān)性和沒(méi)有周跳時(shí)模糊度固定不變的特點(diǎn),通過(guò)采用單站時(shí)間基線模型獲得地震期間測(cè)站瞬時(shí)地表位移。本文以時(shí)間基線模型和GPS單站星間單差消電離層模型為基礎(chǔ),得到單站星間單差時(shí)間基線觀測(cè)模型,并對(duì)其隨機(jī)模型進(jìn)行了推導(dǎo)分析�；趩握拘情g單差時(shí)間基線觀測(cè)模型,得出影響模型解算精度的主要是衛(wèi)星鐘差和周跳這兩個(gè)因素。為進(jìn)行衛(wèi)星鐘差改正,對(duì)分段線性插值方法、滑動(dòng)拉格朗日插值方法和三次樣條插值方法進(jìn)行了分析,通過(guò)實(shí)驗(yàn)比較了三種插值方法的插值效果,實(shí)驗(yàn)表明:分段線性插值方法的精度最高。本文對(duì)電離層殘差法及Wubbena-Melbourne組合法這兩種常用的周跳探測(cè)與修復(fù)方法進(jìn)行簡(jiǎn)要分析,通過(guò)實(shí)驗(yàn)驗(yàn)證了兩種方法的探測(cè)效果及局限性;基于巴爾達(dá)數(shù)據(jù)探測(cè)法和 LAMBDA(Least-square Ambiguity Decorrelation Adjustment Method)方法,本文提出了基于狀態(tài)估計(jì)的序貫最小二乘周跳探測(cè)與修復(fù)方法,并對(duì)該方法的各種影響因素進(jìn)行了研究與分析。采用1Hz靜態(tài)數(shù)據(jù)和1Hz地震數(shù)據(jù)進(jìn)行周跳模擬實(shí)驗(yàn),實(shí)驗(yàn)結(jié)果表明:該方法可以成功的探測(cè)與修復(fù)靜態(tài)數(shù)據(jù)和地震數(shù)據(jù)中1周的小周跳。完成衛(wèi)星鐘差改正和周跳探測(cè)與修復(fù)后,本文采用5Hz的高頻靜態(tài)數(shù)據(jù)、EI-Mayor-Cucapah地震期間1Hz高頻數(shù)據(jù)、蘆山地震期間50Hz高頻數(shù)據(jù)進(jìn)行解算。實(shí)驗(yàn)結(jié)果表明:對(duì)于靜態(tài)數(shù)據(jù),采用本文方法解算得到的N、E、U三個(gè)方向的均方根誤差分別為3.1mm,3.3mm,8.5mm,且位移結(jié)果分布圖呈現(xiàn)正態(tài)分布的特性;對(duì)于采用本文方法所得EI Mayor-Cucapah地震期間的解算結(jié)果,相對(duì)于SOPAC(Scripps Orbit and Permanent Array Center)的雙差解,本文方法不受地震期間參考站位移的影響,所得動(dòng)態(tài)位移結(jié)果精度更高、更準(zhǔn)確;蘆山地震期間的GPS數(shù)據(jù)解算測(cè)站最大振幅結(jié)果與前人的研究成果相差僅為2mm。三個(gè)實(shí)驗(yàn)的結(jié)果進(jìn)一步驗(yàn)證了本文單站星間單差時(shí)間基線模型的正確性和可靠性。
[Abstract]:With the increasing popularity of high frequency GPS(Global Positioning system receivers, and the advantages of using high frequency GPS technology to obtain the displacement deformation of measuring stations directly. The high frequency GPS technology has a broad development space in the field of seismology. According to the earthquake occurrence time is very short. In a short period of time, the tropospheric delay has strong correlation and the ambiguity is invariant when there is no cycle slip. The instantaneous surface displacement of the station during the earthquake is obtained by using the single station time baseline model. This paper is based on the time baseline model and the single difference ionospheric model of GPS single station. The single difference time baseline observation model is obtained, and the stochastic model is deduced and analyzed. The model is based on the single difference time baseline observation model. In order to correct the satellite clock error, the piecewise linear interpolation method is obtained. The sliding Lagrange interpolation method and the cubic spline interpolation method are analyzed, and the interpolation effects of the three interpolation methods are compared by experiments. The experiment shows that:. The precision of piecewise linear interpolation is the highest. In this paper, two commonly used cycle slip detection and repair methods, the ionospheric residual method and the Wubbena-Melbourne combination method, are briefly analyzed. The effectiveness and limitation of the two methods are verified by experiments. Based on Valda data detection and Lambda (. The Least-square Ambiguity Decorrelation Adjustment method. In this paper, a sequential least square cycle slip detection and restoration method based on state estimation is proposed. The influence factors of this method are studied and analyzed. The cycle slip simulation experiment is carried out by using 1Hz static data and 1Hz seismic data. The experimental results show that this method can successfully detect and repair the small cycle slip in the static data and seismic data. After the satellite clock error correction and cycle slip detection and repair are completed, the high frequency static data of 5 Hz are used in this paper. 1 Hz high frequency data during EI-Mayor-Cucapah earthquake and 50 Hz high frequency data during Lushan earthquake are calculated. The experimental results show that: for static data. The root mean square error of the three directions is 3.1 mm / 3.3mm / 8.5mm, respectively, and the distribution of the displacement results shows the characteristics of normal distribution. The calculated results of ei Mayor-Cucapah earthquake are obtained by using this method. Compared with SOPAC(Scripps Orbit and Permanent Array center. The method in this paper is not affected by the displacement of reference station during earthquake, and the result of dynamic displacement is more accurate and accurate. The difference between the maximum amplitude of the GPS data and the previous research results is only 2 mm. The results of three experiments further verify the correctness of the single difference time baseline model between single station and satellite in this paper. Reliability.
【學(xué)位授予單位】：西南交通大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：P228.4;P315.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 趙斌;杜瑞林;張銳;譚凱;喬學(xué)軍;黃勇;張彩紅;;GPS測(cè)定的尼泊爾M_w7.9和M_w7.3級(jí)地震同震形變場(chǎng)[J];科學(xué)通報(bào);2015年Z2期

2 范麗紅;王利;張明;鄭增記;;基于MW與STPIR組合的周跳探測(cè)與修復(fù)方法研究[J];武漢大學(xué)學(xué)報(bào)(信息科學(xué)版);2015年06期

3 李萌;黃丁發(fā);嚴(yán)麗;廖華;顧鐵;陳娜;;Mw6.6級(jí)蘆山地震三要素的準(zhǔn)實(shí)時(shí)反演[J];導(dǎo)航定位學(xué)報(bào);2015年01期

4 劉立加;陳亮;;三種導(dǎo)航衛(wèi)星鐘差加密算法比較[J];測(cè)繪技術(shù)裝備;2014年04期

5 柴艷菊;陽(yáng)仁貴;張寶成;;動(dòng)態(tài)PPP定位中周跳自動(dòng)探測(cè)與處理策略[J];地球物理學(xué)報(bào);2014年05期

6 馮威;黃丁發(fā);李萌;張熙;嚴(yán)麗;;高頻GPS雙差殘差模型監(jiān)測(cè)強(qiáng)震地表運(yùn)動(dòng)[J];地球物理學(xué)報(bào);2013年09期

7 雷雨;趙丹寧;;IGS精密鐘差文件的讀取及加密方法[J];地理空間信息;2013年03期

8 張小紅;郭博峰;;單站GPS測(cè)速在實(shí)時(shí)地震監(jiān)測(cè)中的應(yīng)用[J];地球物理學(xué)報(bào);2013年06期

9 楊洋;董緒榮;李曉宇;鄭坤;;星載原子鐘性能分析方法比較研究[J];科學(xué)技術(shù)與工程;2012年36期

10 王俊;方書(shū)山;;精密衛(wèi)星鐘差內(nèi)插的三種方法及精度分析[J];全球定位系統(tǒng);2012年04期

相關(guān)博士學(xué)位論文 前5條

1 郭博峰;單站高頻GNSS求解同震位移的新方法及聯(lián)合強(qiáng)震儀的地震預(yù)警應(yīng)用研究[D];武漢大學(xué);2015年

2 李萌;基于CORS觀測(cè)網(wǎng)絡(luò)的地殼時(shí)變位移場(chǎng)研究與地震三要素反演[D];西南交通大學(xué);2014年

3 薛志宏;GNSS動(dòng)態(tài)變形測(cè)量關(guān)鍵技術(shù)研究[D];解放軍信息工程大學(xué);2012年

4 喻國(guó)榮;基于移動(dòng)參考站的GPS動(dòng)態(tài)相對(duì)定位算法研究[D];武漢大學(xué);2003年

5 何海波;高精度GPS動(dòng)態(tài)測(cè)量及質(zhì)量控制[D];中國(guó)人民解放軍信息工程大學(xué);2002年

相關(guān)碩士學(xué)位論文 前2條

1 蘇小寧;高頻GPS單歷元定位方法及其在地震學(xué)中的應(yīng)用研究[D];中國(guó)地震局地震預(yù)測(cè)研究所;2011年

2 生仁軍;GPS載波相位定位中周跳探測(cè)方法的研究[D];東南大學(xué);2006年

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