Recursive algorithm for fast GNSS orbit fitting   总被引：1，自引：0，他引：1  

Shuqiang?XueEmail author  Yuanxi?Yang 《GPS Solutions》2016,20(2):151-157

Gaussian elimination is an efficient and numerically stable algorithm for estimating parameters and their precision. However, before estimating the parameters, it is often prudent to perform statistical tests to achieve the best fitting model. We use Gaussian elimination to select the best fitting model among candidate models. A succinct relationship between the weighted sum of squared residuals and the previous one is revealed by a volume formula. For quick parameter estimation and determination of weighted sum of squared residuals, a recursive elimination algorithm is proposed in the context of Gaussian elimination. In order to improve the model selection efficiency, the parameter estimation and the determination of the weighted sum of squared residuals are carried out in parallel using the proposed recursive elimination algorithm in which the improvement at each recursive stage is judged by the Bayesian information criterion. Ultimately, the computational complexity and numerical stability of the recursive elimination proposed are briefly discussed, and a GNSS orbit interpolation example is used to verify the results. It shows that the proposed recursive elimination algorithm inherits the numerical stability of the Gaussian elimination, and this algorithm can be used to examine the gain from the newly introduced parameter, dynamically assess the fitting model, and fix the optimal model efficiently. The optimal fitting model with the lowest information is very close to the real situation verified by checkpoints.  相似文献   

A new method for specular and diffuse pseudorange multipath error extraction using wavelet analysis     

Giovanni?Pugliano  Umberto?RobustelliEmail authorView author&#;s OrcID profile  Fabio?Rossi  Raffaele?Santamaria 《GPS Solutions》2016,20(3):499-508

Multipath remains one of the major challenges in Global Navigation Satellite System (GNSS) positioning because it is considered the dominant source of ranging errors, which can be classified into specular and diffuse types. We present a new method using wavelets to extract the pseudorange multipath in the time domain and breaking it down into the two components. The main idea is an analysis-reconstruction approach based on application of both continuous wavelet transform (CWT) and discrete wavelet transform (DWT). The proposed procedure involves the use of L1 code-minus-carrier (CMC) observable where higher-frequency terms are isolated as residuals. CMC residuals are analyzed by applying the CWT, and we propose the scalogram as a technique for discerning time–frequency variations of the multipath signal. Unlike Fourier transform, the potential of the CWT scalogram for examining the non-stationary and multifrequency nature of the multipath is confirmed as it simultaneously allows fine detection and time localization of the most representative frequencies of the signal. This interpretation of the CWT scalogram is relevant when choosing the levels of reconstruction with DWT, allowing accurate time domain extraction of both the specular and diffuse multipath. The performance and robustness of the method and its boundary applicability are assessed. The experiment was carried out using a receiver of Campania GNSS Network. The results are given in which specular multipath error is achieved using DWT level 7 approximation component and diffuse multipath error is achieved using DWT level 6 denoised detail component.  相似文献   

A Method for Dynamic Risk Assessment and Management of Rockbursts in Drill and Blast Tunnels     

Guo-Feng Liu  Xia-Ting Feng  Guang-Liang Feng  Bing-Rui Chen  Dong-Fang Chen  Shu-Qian Duan 《Rock Mechanics and Rock Engineering》2016,49(8):3257-3279

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Optimization and Parametrical Investigation to Assess the Reconstitution of Different Types of Indian Sand Using Portable Travelling Pluviator     

V.?Srinivasan  Shubham?Srivastava  Priyanka?GhoshEmail author 《Geotechnical and Geological Engineering》2016,34(1):59-73

By using the air pluviation technique, it is aimed to achieve the desired relative density with uniform void ratio throughout the specimen in order to maintain the homogeneity and to avoid the spatial variability. Further, in order to achieve the maximum deposition intensity, a systematic optimization study has been carried out rigorously in a test tank to determine the diameter of the orifice to be employed for the sieve plates of different porosity and the number of sieve plates to be installed in the diffuser sieve sets. The study has been conducted with four different patterns of sieves with different porosity to achieve a wide range of relative densities for four different uniformly graded Indian sands. The dynamic penetrometer which is considered to be one of the cost effective instruments has been efficiently used to determine the soil resistance at various locations of the test tank for every given height of fall in order to check the uniformity of placement density throughout the sand bed. The study reveals that the sand beds of different relative densities could be achieved using different patterns of diffuser sieves at optimum sand flow rate without compromising the uniformity. The effect of height of fall as well as porosity of diffuser sieves on the relative density of different sands has been studied in detail. The deposition intensity and the relative density obtained from the present study are compared with the values available in the literature.  相似文献   

Assessment and Prediction of Liquefaction Potential Using Different Artificial Neural Network Models: A Case Study     

Abbas?Abbaszadeh ShahriEmail author 《Geotechnical and Geological Engineering》2016,34(3):807-815

Soil liquefaction as a transformation of granular material from solid to liquid state is a type of ground failure commonly associated with moderate to large earthquakes and refers to the loss of strength in saturated, cohesionless soils due to the build-up of pore water pressures and reduction of the effective stress during dynamic loading. In this paper, assessment and prediction of liquefaction potential of soils subjected to earthquake using two different artificial neural network models based on mechanical and geotechnical related parameters (model A) and earthquake related parameters (model B) have been proposed. In model A the depth, unit weight, SPT-N value, shear wave velocity, soil type and fine contents and in model B the depth, stress reduction factor, cyclic stress ratio, cyclic resistance ratio, pore pressure, total and effective vertical stress were considered as network inputs. Among the numerous tested models, the 6-4-4-2-1 structure correspond to model A and 7-5-4-6-1 for model B due to minimum network root mean square errors were selected as optimized network architecture models in this study. The performance of the network models were controlled approved and evaluated using several statistical criteria, regression analysis as well as detailed comparison with known accepted procedures. The results represented that the model A satisfied almost all the employed criteria and showed better performance than model B. The sensitivity analysis in this study showed that depth, shear wave velocity and SPT-N value for model A and cyclic resistance ratio, cyclic stress ratio and effective vertical stress for model B are the three most effective parameters on liquefaction potential analysis. Moreover, the calculated absolute error for model A represented better performance than model B. The reasonable agreement of network output in comparison with the results from previously accepted methods indicate satisfactory network performance for prediction of liquefaction potential analysis.  相似文献   

Assessment of storm surge inundation and potential hazard maps for the southern coast of Taiwan     

Wei-Bo Chen  Wen-Cheng Liu 《Natural Hazards》2016,82(1):591-616

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A comparison of forest fire burned area indices based on HJ satellite data     

Wenliang Liu  Litao Wang  Yi Zhou  Shixin Wang  Jinfeng Zhu  Futao Wang 《Natural Hazards》2016,81(2):971-980

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Research on comprehensive carrying capacity of Beijing–Tianjin–Hebei region based on state-space method     

Baojun Tang  Yujie Hu  Huanan Li  Dongwei Yang  Jiangpeng Liu 《Natural Hazards》2016,84(1):113-128

Based on state-space method and component analysis, this paper builds a comprehensive evaluation system of carrying capacity for the Beijing–Tianjin–Hebei region from four aspects, namely economy, environment, ecology and energy. The results show that the comprehensive carrying capacity in this region gradually rises in recent years and the economic carrying capacity plays an important role in this situation. Ecological and environmental carrying capacity are gradually enhanced but still affected by water shortages. The energy carrying capacity of this region is low, which is the major factor restricting its sustainable development. Based on the empirical results, following policy suggestions should be adopted: Firstly, local government should accelerate technological progress, promoting the optimization and upgrading of industrial structure; Secondly, the contradiction between supply and demand of water resource should be solved gradually; thirdly, government should develop recycling economy, realizing the coordinated development of economy and environment; last but not least, saving energy and improving energy efficiency.  相似文献   

长江中下游成矿带庐枞盆地小包庄铁矿床地质特征研究   总被引：3，自引：0，他引：3  

刘一男  范裕  高昌生  张千明  张乐骏 《岩石学报》2016,32(2):319-333

罗河铁矿床位于长江中下游成矿带内庐枞火山岩盆地的西北部,是成矿带内已发现规模最大的铁矿床。2013年在罗河铁矿床深部又勘探新发现了小包庄大型铁矿床,这是长江中下游成矿带内近年来重大找矿突破之一,具有重要的理论研究意义和勘探应用价值。本文在前人工作基础上,基于详细的钻孔观察和系统的岩相学、矿相学工作并结合电子探针测试分析,研究了小包庄铁矿床的矿化蚀变特征,厘定了矿床的成矿阶段,分析了成矿作用过程,并初步探讨了矿床成因。研究表明,罗河铁矿床和小包庄铁矿床为同一成矿系统在不同深度成矿作用的产物。小包庄铁矿床主矿体矿呈厚大的透镜状、似层状产于砖桥组地层中,位于罗河铁矿床主矿体之下约800~1000m,主要由浸染状矿体组成。矿床中金属矿物主要为磁铁矿和黄铁矿,非金属矿物主要为硬石膏、透辉石和碳酸盐,矿石的代表性矿物组合为磁铁矿-硬石膏-透辉石。矿石的结构构造主要有浸染状构造、脉状构造、块状构造、自形-半自形粒状结构、他形粒状结构和筛状结构等。矿床围岩蚀变强烈,主要蚀变类型有碱性长石化、透辉石化、绿泥石化、绿帘石化、碳酸盐化和硬石膏化。小包庄铁矿床形成经历了热液期的四个阶段,即碱性长石阶段、透辉石-硬石膏-磁铁矿阶段、绿泥石-绿帘石-碳酸盐阶段和硬石膏-黄铁矿-碳酸盐-石英阶段,其中,铁矿化主要发育于透辉石-硬石膏-磁铁矿阶段。通过矿床地质特征的分析以及与宁芜地区铁矿床的对比研究,本文认为小包庄铁矿床成矿物质和成矿流体来源于深部的闪长质侵入岩(?),而矿化发育在远离侵入岩或次火山岩之上的火山岩中,明显有别于宁芜地区玢岩铁矿床,类似于智利安第斯成矿带中部分产于安山质火山岩中的磁铁矿-磷灰石型矿床,是长江中下游成矿带中产于火山岩中的一类特殊类型的玢岩型铁矿。  相似文献   

崖南凹陷Y1井崖三段煤系烃源岩发育规律     

张春良  沈玉林  秦勇  赵志刚  杨柳  谢国梁 《沉积学报》2016,34(5):1003-1010

基于Y1井煤系烃源岩样品微量元素分析、煤岩显微组分及热解测试结果,结合小波分析的米氏旋回划分结果,系统研究了崖南凹陷Y1井崖三段煤系烃源岩特征及发育规律。研究表明:①以104和260尺度结合岩芯沉积序列及地球化学测试结果,将崖三段划分为2个中期和5个短期米氏旋回,垂向上表现为旋回厚度及烃源岩比例向上增大的趋势,中期旋回上部为烃源岩优势发育层位,其中ⅠA2、ⅠA3和ⅠB2为煤系烃源岩发育的优势旋回;②煤系烃源岩有机显微组分表现为富镜质组、贫惰质组、贫壳质组+腐泥组,镜质组含量为44%~100%,平均为83%,以基质镜质体及镜屑体为主,烃源岩类型以Ⅲ型（腐殖型）有机质为主,少量为Ⅱ₂型（腐泥-腐殖型）有机质,烃源岩以产气为主,其成熟度较低,R_o值平均为1.12%,处于生烃阶段初期;③煤系烃源岩发育受多种因素控制,其中断陷盆地向坳陷盆地的转化时期是成煤的关键构造时期、强烈进积作用使得煤系烃源岩保存不全、区域海平面上升时期是成煤的关键时期、短期旋回小波曲线右偏拐点处为煤系烃源岩相对发育层位。  相似文献