本文選題：GNSS + 慣性導(dǎo)航系統(tǒng)�。� 參考：《合肥工業(yè)大學(xué)》2017年碩士論文

【摘要】：對于GNSS動態(tài)相對定位,當(dāng)衛(wèi)星信號被遮擋、干擾時(shí),會導(dǎo)致失鎖。在信號重新捕獲時(shí),如何快速、準(zhǔn)確的確定整周模糊度是研究的熱點(diǎn)和難點(diǎn)問題,也是實(shí)現(xiàn)高精度GNSS動態(tài)相對定位的關(guān)鍵。根據(jù)慣性導(dǎo)航系統(tǒng)(Inertial Navigation System,INS)短時(shí)間內(nèi)精度較高,不易受到外界干擾的特點(diǎn),如果采用INS輸出的高精度定位結(jié)果作為先驗(yàn)信息,輔助GNSS固定整周模糊度,可以縮小模糊度搜索空間,較少固定整周模糊度所需要的時(shí)間。本文提出了使用INS輸出的位置信息輔助確定整周模糊度算法:在分析INS獨(dú)立導(dǎo)航精度的基礎(chǔ)上,利用INS輔助確定模糊度,比較恢復(fù)整周模糊度所需要的時(shí)間,評估加入INS對固定整周模糊度的幫助。本文的研究內(nèi)容主要包含以下幾個(gè)方面:1.介紹了INS解算中常用的坐標(biāo)系,給出了地心地固坐標(biāo)系下INS解算載體位置的原理及過程,并使用模擬數(shù)據(jù)對算法進(jìn)行驗(yàn)證,結(jié)果表明INS具有短時(shí)間內(nèi)精度較高的特點(diǎn),但誤差會隨時(shí)間積累,并呈指數(shù)型增長。2.介紹了GNSS載波相對定位和整周模糊度解算算法,其中重點(diǎn)介紹了最小二乘降相關(guān)平差法(Least-square AMBiguity Decorrelation Adjustment,LAMBDA)算法。然后使用模擬數(shù)據(jù)驗(yàn)證了算法正確可靠。3.使用實(shí)測數(shù)據(jù)分別計(jì)算了GNSS獨(dú)立解算和INS輔助下的整周模糊度固定時(shí)間,并進(jìn)行定量對比,結(jié)果表明,如果出現(xiàn)短時(shí)間的信號失鎖,在INS的輔助下,固定模糊度所需要的時(shí)間可以被大幅度縮短;當(dāng)信號失鎖持續(xù)兩秒內(nèi)時(shí),整周模糊度可以被瞬時(shí)恢復(fù)。
[Abstract]:For GNSS dynamic relative positioning, when the satellite signal is blocked and interfered, it will lead to the loss of lock. How to determine the integer ambiguity quickly and accurately is a hot and difficult problem in signal re-acquisition, and it is also the key to realize dynamic relative positioning of high-precision GNSS. According to the characteristics that the inertial Navigation system (ins) has high accuracy in a short period of time and is not easily disturbed by the outside world, if the high precision positioning result of ins output is used as a priori information to assist GNSS to fix the integer ambiguity, the ambiguity searching space can be reduced. Less time required to fix full-cycle ambiguity. In this paper, an algorithm for determining integer ambiguity using position information from ins output is presented. On the basis of analyzing the accuracy of ins independent navigation, the ambiguity degree is determined by using ins aid, and the time required to recover the ambiguity is compared. Evaluate the contribution of ins to fixed integer ambiguity. The research content of this paper mainly includes the following several aspects: 1. This paper introduces the coordinate system commonly used in the ins solution, gives the principle and process of the position of the ins solution carrier in the geocentric solid coordinate system, and verifies the algorithm by using the simulated data. The results show that ins has the characteristics of high precision in a short time. But errors accumulate over time and increase exponentially. In this paper, GNSS carrier relative location and integer ambiguity resolution algorithm are introduced, and the Least-square AMBiguity correlation adjustment algorithm is emphasized. Then the simulation data is used to verify the correctness and reliability of the algorithm. 3. The fixed time of integer ambiguity under the aid of ins and GNSS independent solution are calculated using the measured data, and the quantitative comparison is made. The results show that, if a short period of time signal is lost, under the aid of ins, The time required for fixed ambiguity can be greatly shortened, and the whole cycle ambiguity can be instantly restored when the signal loses its lock for two seconds.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：P228.4

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 胡曉;高偉;李本玉;;GNSS導(dǎo)航定位技術(shù)的研究綜述與分析[J];全球定位系統(tǒng);2009年03期

2 黃勇;方海斌;;三種平臺式慣導(dǎo)系統(tǒng)方案的性能分析[J];現(xiàn)代電子技術(shù);2009年11期

3 李博峰;沈云中;;顧及基線先驗(yàn)信息的GPS模糊度快速解算[J];測繪學(xué)報(bào);2008年04期

4 譚述森;;北斗衛(wèi)星導(dǎo)航系統(tǒng)的發(fā)展與思考[J];宇航學(xué)報(bào);2008年02期

5 張靜,金志華,田蔚風(fēng);利用零空間約束的GPS雙差整周模糊度動態(tài)求解[J];上海交通大學(xué)學(xué)報(bào);2004年11期

6 韋俊新,張俊,劉德均;液浮陀螺儀可靠性技術(shù)分析[J];中國慣性技術(shù)學(xué)報(bào);2004年04期

7 趙麗,劉建業(yè),范勝林;基于QR分解的快速解算初始整周模糊度方法的研究[J];南京航空航天大學(xué)學(xué)報(bào);2004年02期

8 李征航,張小紅,朱智勤;利用GPS進(jìn)行高精度變形監(jiān)測的新模型[J];測繪學(xué)報(bào);2002年03期

9 韓紹偉;GPS相位觀測值的模糊度函數(shù)法與最小二乘法的等價(jià)性及模糊度函數(shù)法的改進(jìn)[J];測繪學(xué)報(bào);1994年04期

10 韓紹偉;附加約束條件的模糊度函數(shù)法及其在GPS相位差分動態(tài)定位中的應(yīng)用[J];武漢測繪科技大學(xué)學(xué)報(bào);1994年01期

相關(guān)博士學(xué)位論文 前1條

1 王仁謙;GPS動態(tài)定位的理論研究[D];中南大學(xué);2004年

相關(guān)碩士學(xué)位論文 前2條

1 謝宏飛;INS輔助GPS模糊度快速恢復(fù)與周跳探測技術(shù)研究[D];解放軍信息工程大學(xué);2013年

2 劉帥;GPS/INS組合導(dǎo)航算法研究與實(shí)現(xiàn)[D];解放軍信息工程大學(xué);2012年

，

本文編號：2104258