發(fā)布時間：2018-01-07 05:22

  本文關(guān)鍵詞：GNSS多系統(tǒng)自主完好性監(jiān)測與信號質(zhì)量評估技術(shù)研究　出處：《國防科學(xué)技術(shù)大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 衛(wèi)星導(dǎo)航系統(tǒng) 完好性 RAIM 多故障 信號質(zhì)量監(jiān)測

【摘要】：隨著衛(wèi)星導(dǎo)航技術(shù)的飛速發(fā)展,其應(yīng)用不僅在海、陸、空、天等軍事領(lǐng)域開花結(jié)果,同時也在航空、運輸、農(nóng)業(yè)、建筑等諸多民用領(lǐng)域落地生根。隨著導(dǎo)航精度的不斷提高,人們對導(dǎo)航系統(tǒng)完好性的要求也愈加嚴格。本文對此展開研究,具體研究內(nèi)容包含如下:第一部分針對基于識別門限的雙星故障識別算法存在故障抵消識別率低的問題,利用奇偶空間矩陣任意兩個列向量生成的子空間,通過判斷無噪聲條件下奇偶矢量與其在該故障特征空間投影的相關(guān)性來識別故障衛(wèi)星。同時,通過分析雙星故障矢量方向和故障偏差幅值大小,給出了雙星故障條件下的用戶誤差保護水平計算方法。最后對雙系統(tǒng)下基于故障特征空間的雙星故障識別算法進行了仿真分析,仿真結(jié)果表明,與基于識別門限的RAIM算法相比,本文提出的算法故障識別率能夠從60%提高到90%以上。第二部分針對ARAIM基本算法中完好性風(fēng)險平均分配,而現(xiàn)有RAIM算法中針對完好性風(fēng)險動態(tài)分配理論計算復(fù)雜的問題,通過給定初值減少計算迭代次數(shù)得到次優(yōu)解,改善了危險誤導(dǎo)信息概率動態(tài)分配方案。與完好性風(fēng)險平均分配算法相比,改進后的算法能有效降低保護水平,提高系統(tǒng)可用性,同時降低了完好性風(fēng)險最優(yōu)配置理論算法的計算復(fù)雜度。最后對ARAIM算法在不同應(yīng)用場合下的可用性進行了仿真分析,仿真結(jié)果表明,多系統(tǒng)組合應(yīng)用能有效提高系統(tǒng)完好性性能,BDS+GPS雙系統(tǒng)應(yīng)用下已基本能滿足中國區(qū)域LPV-200的要求。第三部分針對導(dǎo)航參數(shù)未知的GNSS離線信號,無法利用捕獲跟蹤方式估計信號參數(shù)實現(xiàn)對信號監(jiān)測評估的背景,結(jié)合工程實踐需求,利用滑動相關(guān)和數(shù)據(jù)累加的方法實現(xiàn)了對基于窄波束天線的導(dǎo)航信號參數(shù)估計。根據(jù)導(dǎo)航信號自相關(guān)特性,通過一小段切片數(shù)據(jù)與原始信號作相關(guān)處理估計GNSS信號碼周期、載波多普勒等參數(shù),通過信號周期累積平均提高信噪比,進一步估計信號載波相位、初始碼相位等信號參數(shù),利用仿真信號驗證了該方法的有效性。最后將該方法引入GNSS在軌信號質(zhì)量的監(jiān)測與評估,搭建導(dǎo)航信號質(zhì)量監(jiān)測分析的軟硬件平臺,實現(xiàn)了對GNSS實測信號的分析評估。最后,對本文的研究成果和工程價值進行了總結(jié),并指出了目前研究工作中還存在的不足以及未來待完善的部分。本文的研究內(nèi)容對衛(wèi)星導(dǎo)航系統(tǒng)完好性具有重要指導(dǎo)意義,其研究成果可直接應(yīng)用于在軌衛(wèi)星導(dǎo)航信號質(zhì)量的監(jiān)測與評估。
[Abstract]:With the rapid development of satellite navigation technology, its application not only in the sea, land, air, and other military field, but also in aviation, transportation, agriculture, construction and other fields. With the air plant navigation accuracy continues to improve, people on the navigation system integrity requirements more strict. In this study, specific the research contents include as follows: the first part is the fault offset the low recognition rate to solve the problem of fault detection algorithm based on the recognition threshold, using the parity space matrix of any two column vector subspace generated by judging the correlation, noise free conditions and the fault feature parity vector space projection to identify fault satellites. At the same time, through the analysis of fault detection and fault vector direction deviation amplitude, gives the user error protection level binary fault condition calculation method. At the end of Fault feature space based on binary fault identification algorithm of dual system is simulated. The simulation results show that compared with the RAIM algorithm to identify the threshold based fault identification algorithm is proposed in this paper can rate increased from 60% to more than 90%. The second part of the integrity risk the average distribution of the basic ARAIM algorithm, and the existing RAIM algorithm for integrity risk allocation theory of the computational complexity of the problem, given by the initial reduction of the number of iterations to obtain suboptimal solutions, improve the risk of misleading information dynamic probability distribution scheme. Compared with the average integrity risk allocation algorithm, the improved algorithm can effectively reduce the level of protection, improve system availability, and reduce the calculation of integrity risk the optimal allocation theory of the complexity of the algorithm. Finally the availability of the ARAIM algorithm in different application situations are simulated, the simulation results table The multi system combination can effectively improve the system integrity performance, application of BDS+GPS double system can basically meet the requirements of LPV-200 GNSS. China area for navigation offline signal with unknown parameters in third parts, can not be used to evaluate the acquisition and tracking method to estimate signal monitoring background signal parameters, combined with the engineering practice, using the method of sliding and the related data accumulated for estimation of navigation signal parameters based on narrow beam antenna. According to the navigation signal autocorrelation, estimation of GNSS channel number cycle through a short section data and original signal processing, signal parameters such as carrier Doppler, through the cumulative average cycle to improve the signal-to-noise ratio, further estimation of signal carrier phase, initial code phase signal parameters, verify the validity of the method by using the simulation signal. Finally the method of introducing GNSS on signal quality Monitoring and assessment, setting up the hardware and software platform analysis of signal quality monitoring, the evaluation and analysis of the measured GNSS signal. Finally, this paper summarizes the research results and the value of the project, and points out the deficiencies in current research and future need to be improved. The research content of this paper is an important guiding significance to the satellite navigation system integrity, monitoring and evaluation of the research results can be directly applied to the satellite navigation signal quality.

【學(xué)位授予單位】：國防科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN967.1

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本文編號：1391151