標(biāo)題: Titlebook: GPS Stochastic Modelling; Signal Quality Measu Xiaoguang Luo Book 2013 Springer-Verlag Berlin Heidelberg 2013 ARMA Process.AutoRegressive M [打印本頁] 作者: LH941 時(shí)間: 2025-3-21 19:31
書目名稱GPS Stochastic Modelling影響因子(影響力)
作者: 轉(zhuǎn)折點(diǎn) 時(shí)間: 2025-3-21 20:20 作者: commensurate 時(shí)間: 2025-3-22 03:48 作者: 富足女人 時(shí)間: 2025-3-22 06:56
Data and GPS Processing Strategies,ghting and the residual-based temporal correlation modelling, which will be presented in Chaps.?5 and 7, respectively. In addition to representative GPS measurements, freely available surface meteorological data are incorporated, enabling a physically reasonable interpretation of the results. Sectio作者: thrombus 時(shí)間: 2025-3-22 09:45 作者: 狗窩 時(shí)間: 2025-3-22 16:12
Results of SNR-Based Observation Weighting, EMPSNR2 on GPS baseline solutions using the Bernese GPS Software?5.0. Thereby, three important aspects, namely ambiguity resolution, troposphere parameter estimation and coordinate determination, are taken into account. Being structured in a similar way, Sects.?6.1 and 6.2 first compare the weight 作者: 狗窩 時(shí)間: 2025-3-22 19:30 作者: 寬大 時(shí)間: 2025-3-22 22:44 作者: Awning 時(shí)間: 2025-3-23 02:22
Conclusions and Recommendations,ter estimates and realistic quality measures. In comparison to the highly developed functional model, the stochastic model applied in many GPS software products is considered unrealistic due to the elevation-dependent (or even identical) weighting model and the neglect of physical correlations betwe作者: 浪費(fèi)時(shí)間 時(shí)間: 2025-3-23 09:11 作者: 地名表 時(shí)間: 2025-3-23 11:54 作者: 混合,攙雜 時(shí)間: 2025-3-23 16:41
https://doi.org/10.1007/978-3-642-34836-5ARMA Process; AutoRegressive Moving Average Process; Hypothesis Testing; Signal-to-Noise Ratio (SNR); St作者: Kinetic 時(shí)間: 2025-3-23 21:15
Guide to Unemployment Reduction Measuresetic applications in the industrial, commercial, cadastral and scientific research sectors. The rising demands for accurate positions and realistic quality measures require continuous improvements, not only in hardware developments, but also in the mathematical models applied in GPS data analysis. U作者: 抗體 時(shí)間: 2025-3-24 02:01
The Control of Mergers and Joint Venturesdjustment method has been widely used in GPS data processing, Sect.?2.1 outlines the concept of LS parameter estimation in linear models. Afterwards, some fundamental ideas behind time series analysis are presented in Sect.?2.2. Of particular importance are the so-called autoregressive moving averag作者: 送秋波 時(shí)間: 2025-3-24 02:24 作者: Instantaneous 時(shí)間: 2025-3-24 10:24
The Control of Mergers and Joint Venturesghting and the residual-based temporal correlation modelling, which will be presented in Chaps.?5 and 7, respectively. In addition to representative GPS measurements, freely available surface meteorological data are incorporated, enabling a physically reasonable interpretation of the results. Sectio作者: 大炮 時(shí)間: 2025-3-24 12:27 作者: dyspareunia 時(shí)間: 2025-3-24 15:59 作者: archenemy 時(shí)間: 2025-3-24 20:51 作者: adhesive 時(shí)間: 2025-3-25 03:14
https://doi.org/10.1057/97814039009512.3 and 4.3.2), this chapter presents the outcome of the temporal correlation modelling described in Chap.?7 with respect to satellite geometry, multipath impact and atmospheric conditions. The efficiency of the proposed residual decomposition and ARMA modelling is visually assessed based on wavelet作者: Expand 時(shí)間: 2025-3-25 07:04
Ordered Structures and Semiringster estimates and realistic quality measures. In comparison to the highly developed functional model, the stochastic model applied in many GPS software products is considered unrealistic due to the elevation-dependent (or even identical) weighting model and the neglect of physical correlations betwe作者: Frequency 時(shí)間: 2025-3-25 11:01 作者: 挫敗 時(shí)間: 2025-3-25 13:58
978-3-662-51188-6Springer-Verlag Berlin Heidelberg 2013作者: 率直 時(shí)間: 2025-3-25 18:58
GPS Stochastic Modelling978-3-642-34836-5Series ISSN 2190-5053 Series E-ISSN 2190-5061 作者: 合群 時(shí)間: 2025-3-25 20:22
https://doi.org/10.1007/978-0-230-28623-8is still a controversial research topic. Here the functional model is discussed with a special focus on the error sources considerably affecting GPS positioning quality, while the stochastic model is presented with respect to observation weighting and correlation structure.作者: Gratuitous 時(shí)間: 2025-3-26 00:31
Stanley Mazor,Patricia Langstraatvalues, then the adjustment results obtained by means of the commonly used elevation-dependent weighting scheme CSC2(BS) and the proposed SNR-based EMPSNR2. Section 6.3 summarises the main findings from the case studies, providing a realistic picture of the advantages of EMPSNR2.作者: Indolent 時(shí)間: 2025-3-26 06:57
https://doi.org/10.1057/9781403900951 scalograms, and statistically evaluated by means of hypothesis tests. Making use of the estimated ARMA models, the PPP stochastic model is extended by taking the noise’s temporal correlation into account.作者: 過份艷麗 時(shí)間: 2025-3-26 08:56
Ordered Structures and Semiringsen GPS observations. Following the specific objectives described in Sect.?1.3, this thesis has proposed an advanced observation weighting scheme based on signal-to-noise ratio (SNR) measurements and a rigorous temporal correlation analysis using residual time series from LS evaluation.作者: inchoate 時(shí)間: 2025-3-26 15:50
Mathematical Models for GPS Positioning,is still a controversial research topic. Here the functional model is discussed with a special focus on the error sources considerably affecting GPS positioning quality, while the stochastic model is presented with respect to observation weighting and correlation structure.作者: CANE 時(shí)間: 2025-3-26 17:46
Results of SNR-Based Observation Weighting,values, then the adjustment results obtained by means of the commonly used elevation-dependent weighting scheme CSC2(BS) and the proposed SNR-based EMPSNR2. Section 6.3 summarises the main findings from the case studies, providing a realistic picture of the advantages of EMPSNR2.作者: grovel 時(shí)間: 2025-3-27 01:01
,Results of Residual-Based Temporal Correlation?Modelling, scalograms, and statistically evaluated by means of hypothesis tests. Making use of the estimated ARMA models, the PPP stochastic model is extended by taking the noise’s temporal correlation into account.作者: climax 時(shí)間: 2025-3-27 05:10 作者: Finasteride 時(shí)間: 2025-3-27 06:59 作者: 朝圣者 時(shí)間: 2025-3-27 12:27
Book 2013ta analysis, while the temporal correlation of GPS observation noise can be efficiently described by means of autoregressive moving average (ARMA) processes. Furthermore, this work includes an up-to-date overview of the GNSS error effects and a comprehensive description of various mathematical methods. .作者: flamboyant 時(shí)間: 2025-3-27 16:47
Guide to Unemployment Reduction Measuresrecision and correlations, generally expressed by the main- and off-diagonal elements of a variance-covariance matrix (VCM), respectively. For accurate parameter estimates and realistic quality measures, both the functional and stochastic models must be properly defined.作者: Fulsome 時(shí)間: 2025-3-27 20:25
Stanley Mazor,Patricia Langstraath the commonly applied elevation-dependent weighting scheme and two other SNR-based alternatives. Finally, in Sect. 5.4, the main properties of the novel SNR-based weighting model are summarised from both theoretical and practical points of view.作者: 保守 時(shí)間: 2025-3-28 00:43 作者: 不能強(qiáng)迫我 時(shí)間: 2025-3-28 03:25 作者: Brochure 時(shí)間: 2025-3-28 07:36
2190-5053 rds a realistic GNSS stochastic model, and provides good exaGlobal Navigation Satellite Systems (GNSS), such as GPS, have become an efficient, reliable and standard tool for a wide range of applications. However, when processing GNSS data, the stochastic model characterising the precision of observa作者: concubine 時(shí)間: 2025-3-28 12:47 作者: Maximizer 時(shí)間: 2025-3-28 15:19 作者: 暴發(fā)戶 時(shí)間: 2025-3-28 22:50 作者: armistice 時(shí)間: 2025-3-29 02:40
Mathematical Background,velet transforms, serving within the framework of this thesis as a time-frequency analysis tool for the visual verification of the residual-based temporal correlation modelling presented in Chaps.?7 and 8.
