Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075148
Linjun Yu, Yalan Liu, T. Chi, Ling Peng
The real-time tracking of indoor locations for firefighters and trapped people is key information for the fire emergency command, especially in high-rise buildings or complex buildings. An enhanced iBeacon-based indoor positioning system is proposed in this paper to solve the indoor positioning problem for the fire emergency command. A fire emergency command platform is developed based on this iBeacon-based indoor positioning system. The key issues for the fire emergency command are solved in this platform, including tracking and visualization of the indoor and outdoor positioning for firefighters and trapped people and information sharing and synchronization among different systems such as the firemen handheld terminals, the command platforms in the command center and the mobile command platforms. The results show that the positional accuracy can reach approximately 3 meters. The iBeacon station used in this paper can operate for 3 years based on its battery life, which suggests that the developed platform can provide real-time indoor and outdoor positioning services and mapping services for the fire emergency command rescue after the fire occurs. Therefore, the fire commander can now determine whether there are firefighters who are trapped or lost in the fire by monitoring their real-time positions.
{"title":"An iBeacon-based indoor and outdoor positioning system for the fire emergency command","authors":"Linjun Yu, Yalan Liu, T. Chi, Ling Peng","doi":"10.1109/CPGPS.2017.8075148","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075148","url":null,"abstract":"The real-time tracking of indoor locations for firefighters and trapped people is key information for the fire emergency command, especially in high-rise buildings or complex buildings. An enhanced iBeacon-based indoor positioning system is proposed in this paper to solve the indoor positioning problem for the fire emergency command. A fire emergency command platform is developed based on this iBeacon-based indoor positioning system. The key issues for the fire emergency command are solved in this platform, including tracking and visualization of the indoor and outdoor positioning for firefighters and trapped people and information sharing and synchronization among different systems such as the firemen handheld terminals, the command platforms in the command center and the mobile command platforms. The results show that the positional accuracy can reach approximately 3 meters. The iBeacon station used in this paper can operate for 3 years based on its battery life, which suggests that the developed platform can provide real-time indoor and outdoor positioning services and mapping services for the fire emergency command rescue after the fire occurs. Therefore, the fire commander can now determine whether there are firefighters who are trapped or lost in the fire by monitoring their real-time positions.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"17 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133169162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075144
Xiaogang Qi, Xingcheng Liu, Haijun Dong, Lifang Liu
Traditional algorithms are explained theoretically without provement from the actual simulation, resulting in many non-locatable nodes and selection problems of the proportion of anchor nodes in wireless sensor network. Against these problems, three typical algorithms that start from collaborative localization are simulated in the following two scenarios to compare their performance. The first scenario combines the anchor nodes and blind nodes localized by anchor nodes to localize other blind nodes, while the other blind nodes preferentially localize their position through anchor nodes. Otherwise, blind nodes knowing their position participate in localization only if there aren't anchor nodes less than three. Large simulation results show that the second performs better than first in term of localization error and the number of non-locatable nodes under the same condition. Moreover, the optimal solution is provided for the proper selection of the anchor nodes.
{"title":"Simulation study on cooperative localization","authors":"Xiaogang Qi, Xingcheng Liu, Haijun Dong, Lifang Liu","doi":"10.1109/CPGPS.2017.8075144","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075144","url":null,"abstract":"Traditional algorithms are explained theoretically without provement from the actual simulation, resulting in many non-locatable nodes and selection problems of the proportion of anchor nodes in wireless sensor network. Against these problems, three typical algorithms that start from collaborative localization are simulated in the following two scenarios to compare their performance. The first scenario combines the anchor nodes and blind nodes localized by anchor nodes to localize other blind nodes, while the other blind nodes preferentially localize their position through anchor nodes. Otherwise, blind nodes knowing their position participate in localization only if there aren't anchor nodes less than three. Large simulation results show that the second performs better than first in term of localization error and the number of non-locatable nodes under the same condition. Moreover, the optimal solution is provided for the proper selection of the anchor nodes.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115863226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075087
Wang Shan-he, Xiang Yu, Hua Yu, Huang Changjiang, Gao Yuanyuan
The principle of digital satellite TV differential timing is illustrated and the error sources that influence timing accuracy are analyzed, which include ephemeris error and error caused by ranging method and signal transmission. Error correction and estimation are also presented. By comparing with Two Way Satellite Time Frequency Transfer method, the results after error correction and data processing show that the timing precision of digital satellite TV differential timing method is higher than 10ns.
{"title":"Error analysis of digital satellite TV differential timing","authors":"Wang Shan-he, Xiang Yu, Hua Yu, Huang Changjiang, Gao Yuanyuan","doi":"10.1109/CPGPS.2017.8075087","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075087","url":null,"abstract":"The principle of digital satellite TV differential timing is illustrated and the error sources that influence timing accuracy are analyzed, which include ephemeris error and error caused by ranging method and signal transmission. Error correction and estimation are also presented. By comparing with Two Way Satellite Time Frequency Transfer method, the results after error correction and data processing show that the timing precision of digital satellite TV differential timing method is higher than 10ns.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125059873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075132
Yang Honglei, Xu Tianhe, Jia Song
In this paper, we use SLR normal point observations provided by EDC to validate AIUB zero-difference kinematic orbit of GRACE satellites. By selecting 4 representative SLR sites, they are analyzed in detail from the regularity of observed elevation angle, azimuth angle and residual value of GRACE-A/B satellites. The results show that the data quality of different SLR sites is uneven, and more than 97% of the SLR observed data are very stable. There is almost no systematic error in the SLR validation of GRACE kinematic orbits, and the accuracy is better than 2.5 cm for GRACE-A and 2.7 cm for GRACE-B respectively. Under the statistics of nearly 350,000 available observations for each satellite, the accuracy indicators have strong similarity in the same site. The SLR residuals of each site obey normal distribution. The number of SLR data is inversely proportional to the observed elevation angle, and the geometric distribution of spatial observation points has a periodicity of π at different azimuth angles.
{"title":"SLR data quality analysis and assessment based on zero-difference kinematic orbit of GRACE satellites","authors":"Yang Honglei, Xu Tianhe, Jia Song","doi":"10.1109/CPGPS.2017.8075132","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075132","url":null,"abstract":"In this paper, we use SLR normal point observations provided by EDC to validate AIUB zero-difference kinematic orbit of GRACE satellites. By selecting 4 representative SLR sites, they are analyzed in detail from the regularity of observed elevation angle, azimuth angle and residual value of GRACE-A/B satellites. The results show that the data quality of different SLR sites is uneven, and more than 97% of the SLR observed data are very stable. There is almost no systematic error in the SLR validation of GRACE kinematic orbits, and the accuracy is better than 2.5 cm for GRACE-A and 2.7 cm for GRACE-B respectively. Under the statistics of nearly 350,000 available observations for each satellite, the accuracy indicators have strong similarity in the same site. The SLR residuals of each site obey normal distribution. The number of SLR data is inversely proportional to the observed elevation angle, and the geometric distribution of spatial observation points has a periodicity of π at different azimuth angles.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128354706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075129
Xiang Ji, Chao Yu, Wen Chen, D. Dong
The high-precision measurement of attitude information is of great significance to the satellites, aircraft and vehicle. How to measure the three-dimensional attitude of the carrier efficiently and accurately becomes the hotspot in the related research field. This paper proposes a new GNSS 3D attitude measurement system based on dual-antenna receiver with common clock. This system uses single-difference model to get real-time settlement of the carrier high-precision attitude information. When the baseline of the system is 1m in static environment, the baseline measurement accuracy is 2 mm, the yaw accuracy is 0.08 degrees, the pitch accuracy is 0.15 degrees and the roll accuracy is 0.14 degrees. When the baseline of the system is 0.5m in dynamic environment, the yaw accuracy is 0.4526 degrees, the pitch accuracy is 0.4801 degrees and the roll accuracy is 0.4353 degrees. The experimental results show that the system has good performance in terms of stability and applicability. It can be used in multi-system combining attitude measurement in the future, which has a strong practical application value and broad prospects.
{"title":"GNSS 3D attitude measurement system based on dual-antenna receiver with common clock","authors":"Xiang Ji, Chao Yu, Wen Chen, D. Dong","doi":"10.1109/CPGPS.2017.8075129","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075129","url":null,"abstract":"The high-precision measurement of attitude information is of great significance to the satellites, aircraft and vehicle. How to measure the three-dimensional attitude of the carrier efficiently and accurately becomes the hotspot in the related research field. This paper proposes a new GNSS 3D attitude measurement system based on dual-antenna receiver with common clock. This system uses single-difference model to get real-time settlement of the carrier high-precision attitude information. When the baseline of the system is 1m in static environment, the baseline measurement accuracy is 2 mm, the yaw accuracy is 0.08 degrees, the pitch accuracy is 0.15 degrees and the roll accuracy is 0.14 degrees. When the baseline of the system is 0.5m in dynamic environment, the yaw accuracy is 0.4526 degrees, the pitch accuracy is 0.4801 degrees and the roll accuracy is 0.4353 degrees. The experimental results show that the system has good performance in terms of stability and applicability. It can be used in multi-system combining attitude measurement in the future, which has a strong practical application value and broad prospects.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125015637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075122
Zhaohan Zhu, Xiaohui Zhou, Jingyu Liu
Common mode errors (CMEs) commonly exist in GPS coordinate time series, and it would affect the accuracy and reliability of the position and velocity of a reference station. The reduction of CME decreases the amplitude of seasonal variation and colored noise. This paper analyzes the noise of CME of 27 reference stations in the Crustal Movement Observation Network of China (CMONOC) using maximum likelihood estimation (MLE) method. The mean spectral index of CME is approximately −1 in N, E and U components, indicating that flicker noise may be the main colored noise in CME. Further analysis of optimal noise model shows that the main noise model of CME in CMONOC is white noise plus flicker noise and white noise plus power law noise. In horizontal component, the proportions of these two models are similar. In vertical component, over 60% of stations are behaved as white noise plus power law noise model.
{"title":"Noise analysis of common mode error in CMONOC GPS coordinate time series","authors":"Zhaohan Zhu, Xiaohui Zhou, Jingyu Liu","doi":"10.1109/CPGPS.2017.8075122","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075122","url":null,"abstract":"Common mode errors (CMEs) commonly exist in GPS coordinate time series, and it would affect the accuracy and reliability of the position and velocity of a reference station. The reduction of CME decreases the amplitude of seasonal variation and colored noise. This paper analyzes the noise of CME of 27 reference stations in the Crustal Movement Observation Network of China (CMONOC) using maximum likelihood estimation (MLE) method. The mean spectral index of CME is approximately −1 in N, E and U components, indicating that flicker noise may be the main colored noise in CME. Further analysis of optimal noise model shows that the main noise model of CME in CMONOC is white noise plus flicker noise and white noise plus power law noise. In horizontal component, the proportions of these two models are similar. In vertical component, over 60% of stations are behaved as white noise plus power law noise model.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128509858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075090
Fei Yu, Shiwei Fan, Ya Zhang, Pengfei Wu, Jiachong Chang
The error of fiber optic gyroscope (FOG) seriously affects the positioning accuracy of inertial navigation system. The temperature of the environment seriously affects the accuracy of FOG. And the temperature error mathematical model of fiber optic gyroscope is analyzed. Based on the function fitting capability of support vector machine (SVM), a new modeling and compensation method for gyroscope temperature error is proposed. Experiment results demonstrate that the proposed method can decrease 95% temperature error of FOG and promote its adaptability towards environmental temperature of FOG.
{"title":"Compensation method for temperature error of fiber optic gyroscope based on support vector machine","authors":"Fei Yu, Shiwei Fan, Ya Zhang, Pengfei Wu, Jiachong Chang","doi":"10.1109/CPGPS.2017.8075090","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075090","url":null,"abstract":"The error of fiber optic gyroscope (FOG) seriously affects the positioning accuracy of inertial navigation system. The temperature of the environment seriously affects the accuracy of FOG. And the temperature error mathematical model of fiber optic gyroscope is analyzed. Based on the function fitting capability of support vector machine (SVM), a new modeling and compensation method for gyroscope temperature error is proposed. Experiment results demonstrate that the proposed method can decrease 95% temperature error of FOG and promote its adaptability towards environmental temperature of FOG.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131131125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the deepening use of public information resources in smart cities, public information platforms have been paid more attention as the basic support platform for intelligent city application. At present, new urbanization construction is in full swing in China. Fine security management for communities has become the core of new urbanization. Smart community security management needs to integrate the Internet of Things (IOT), Mobile Internet and other technologies to seamlessly manage indoor and outdoor data. In this paper, the development of the technical framework of the Public Information Platform for Smart City (PIPSC/CMF) is discussed, and the four key technologies are studied in detail including indoor and outdoor integrated data management, 3D reconstruction and dynamic simulation emergency, indoor-outdoor integrated positioning and indoor-outdoor integrated spatial analysis. Finally, demonstrations are presented, which show that PIPSC/CMF can provide a technical reference for the development of a smart city.
{"title":"Design and implementation of community safety management oriented public information platform for a smart city","authors":"Yalan Liu, Linjun Yu, T. Chi, Banghui Yang, Xiaojing Yao, Lina Yang, Xin Zhang, Yuhuan Ren, Shufu Liu, Shaolong Cui, Ling Peng","doi":"10.1109/CPGPS.2017.8075149","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075149","url":null,"abstract":"With the deepening use of public information resources in smart cities, public information platforms have been paid more attention as the basic support platform for intelligent city application. At present, new urbanization construction is in full swing in China. Fine security management for communities has become the core of new urbanization. Smart community security management needs to integrate the Internet of Things (IOT), Mobile Internet and other technologies to seamlessly manage indoor and outdoor data. In this paper, the development of the technical framework of the Public Information Platform for Smart City (PIPSC/CMF) is discussed, and the four key technologies are studied in detail including indoor and outdoor integrated data management, 3D reconstruction and dynamic simulation emergency, indoor-outdoor integrated positioning and indoor-outdoor integrated spatial analysis. Finally, demonstrations are presented, which show that PIPSC/CMF can provide a technical reference for the development of a smart city.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125554787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075100
Guo‐Hua Liu, Guorong Yu
Determination of troposphere delay has always been a challenging issue in Global Navigation Satellite System (GNSS) applications, such as high precision GNSS positioning and atmospheric delay parameter estimation. In this study, an improved algorithm, named SEU, is proposed, using a modified classic model to calculate the zenith tropospheric delay. The temperature and barometric pressure in the algorithm are derived from the Global Pressure and Temperature (GPT) model, while the water vapour pressure parameters are obtained by applying the relative humidity calculation in the UNB3m model, instead of the conventional method of using standard meteorological parameters. For verification, datasets for the whole year of 2011 from 242 globally distributed stations were calculated. Annual mean error, standard deviation and RMS of the difference between the results from this algorithm and Centre for Orbit Determination in Eucrope (CODE) are about 0.67 cm, 4.11 cm and 5.2 cm. Distinctively, the proposed algorithm is better than the classic models, such as Hopfield and compared with UNB3m, the advantages of SEU are regional and seasonal. In regional analysis, SEU algorithm performs better than UNB3m model in the southern hemisphere especially Antarctica, and the accuracy of the proposed algorithm is nearly uniform in the global scope while the accuracy of UNB3m shows decreasing trend from north to south in general; while in seasonal analysis, the precision of SEU algorithm is superior to that of UNB3m model in the southern hemisphere, except in June and July. From November to next April i.e. during winter SEU algorithm is better than UNB3m during the period in the northern hemisphere. Therefore the proposed algorithm still being an empirical model with simple operation, just the location and the time required, an accurate priori tropospheric delay value with real-time practicability and worldwide availability could be achieved for GNSS positioning and other space research.
{"title":"An algorithm for global troposphere delay determination by the combination of GPT/UNB3m and classic models","authors":"Guo‐Hua Liu, Guorong Yu","doi":"10.1109/CPGPS.2017.8075100","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075100","url":null,"abstract":"Determination of troposphere delay has always been a challenging issue in Global Navigation Satellite System (GNSS) applications, such as high precision GNSS positioning and atmospheric delay parameter estimation. In this study, an improved algorithm, named SEU, is proposed, using a modified classic model to calculate the zenith tropospheric delay. The temperature and barometric pressure in the algorithm are derived from the Global Pressure and Temperature (GPT) model, while the water vapour pressure parameters are obtained by applying the relative humidity calculation in the UNB3m model, instead of the conventional method of using standard meteorological parameters. For verification, datasets for the whole year of 2011 from 242 globally distributed stations were calculated. Annual mean error, standard deviation and RMS of the difference between the results from this algorithm and Centre for Orbit Determination in Eucrope (CODE) are about 0.67 cm, 4.11 cm and 5.2 cm. Distinctively, the proposed algorithm is better than the classic models, such as Hopfield and compared with UNB3m, the advantages of SEU are regional and seasonal. In regional analysis, SEU algorithm performs better than UNB3m model in the southern hemisphere especially Antarctica, and the accuracy of the proposed algorithm is nearly uniform in the global scope while the accuracy of UNB3m shows decreasing trend from north to south in general; while in seasonal analysis, the precision of SEU algorithm is superior to that of UNB3m model in the southern hemisphere, except in June and July. From November to next April i.e. during winter SEU algorithm is better than UNB3m during the period in the northern hemisphere. Therefore the proposed algorithm still being an empirical model with simple operation, just the location and the time required, an accurate priori tropospheric delay value with real-time practicability and worldwide availability could be achieved for GNSS positioning and other space research.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133654514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-05-01DOI: 10.1109/CPGPS.2017.8075150
Fucheng Song, Peng Gao, Shuangshuang Shi
Constellation of regional BDS has been completed with five Geostationary Earth Orbit (GEO) satellites, five Inclined Geosynchronous Satellite Orbit (IGSO) satellites and four Medium Earth Orbit (MEO) satellites, which can provide positioning, navigation, timing, short-message communication and other services for regional users. China's BDS continues to develop a global system in near future. In order to analyze and assess the positioning performance of BDS B1 frequency, we discuss and analyze the performance of regional BDS (5 GEO + 5 IGSO + 4 MEO) and global BDS (5 GEO + 3 IGSO + 27 MEO) with simulated data in term of satellite visibility, PDOP value and positioning accuracy in the most regions of China. Wuhan station is also selected to test positioning performance for a single day. The results show that the global BDS can provide Chinese users with better service. Compared with the regional BDS, the global BDS improves significantly. The number of average visible satellites increases by 8–10, the average PDOP value decreases by 1–3, and the average positioning accuracy increases by 2–3 m.
{"title":"Positioning performance analysis and assessment for BDS B1 frequency based on simulation","authors":"Fucheng Song, Peng Gao, Shuangshuang Shi","doi":"10.1109/CPGPS.2017.8075150","DOIUrl":"https://doi.org/10.1109/CPGPS.2017.8075150","url":null,"abstract":"Constellation of regional BDS has been completed with five Geostationary Earth Orbit (GEO) satellites, five Inclined Geosynchronous Satellite Orbit (IGSO) satellites and four Medium Earth Orbit (MEO) satellites, which can provide positioning, navigation, timing, short-message communication and other services for regional users. China's BDS continues to develop a global system in near future. In order to analyze and assess the positioning performance of BDS B1 frequency, we discuss and analyze the performance of regional BDS (5 GEO + 5 IGSO + 4 MEO) and global BDS (5 GEO + 3 IGSO + 27 MEO) with simulated data in term of satellite visibility, PDOP value and positioning accuracy in the most regions of China. Wuhan station is also selected to test positioning performance for a single day. The results show that the global BDS can provide Chinese users with better service. Compared with the regional BDS, the global BDS improves significantly. The number of average visible satellites increases by 8–10, the average PDOP value decreases by 1–3, and the average positioning accuracy increases by 2–3 m.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126879372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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