The Experts below are selected from a list of 16749 Experts worldwide ranked by ideXlab platform
Shaokun Cai - One of the best experts on this subject based on the ideXlab platform.
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A new method for underwater dynamic Gravimetry based on multisensor integrated navigation
GEOPHYSICS, 2020Co-Authors: Zhiming Xiong, Shaokun Cai, Juliang Cao, Liao Kaixun, Minghao WangAbstract:Underwater gravity information plays a major role in deepwater oil and gas exploration. To realize underwater dynamic Gravimetry, we have developed a strapdown gravimeter mounted in a pressure capsule for adaption to the underwater environment and we adopted a two-stage towed underwater Gravimetry scheme. An improved strapdown gravimeter and other underwater sensors were installed in a towed vessel to form an underwater dynamic Gravimetry system. Because the global navigation satellite system cannot be used for underwater dynamic Gravimetry, we developed a new method based on underwater multisensor integrated navigation, in which a federal Kalman filter was applied for error estimation. This new method allowed us to obtain the accurate attitude, velocity, and position necessary for gravity estimation. In addition, the gravity data can then be extracted from the noisy data through finite impulse response low-pass filtering. We acquired the underwater gravity data at a depth of 300 m to test the validity of the new method and evaluate the accuracy of the underwater gravity system. The results indicated a repeatability from 0.85 to 0.96 mGal at a half wavelength of approximately 0.2 km and also indicated good consistency with the marine gravity data.
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Improving the Strapdown Airborne Vector Gravimetry by a Backward Inertial Navigation Algorithm.
Sensors (Basel Switzerland), 2018Co-Authors: Minghao Wang, Shaokun Cai, Juliang Cao, Kaidong ZhangAbstract:Strapdown airborne Gravimetry is an efficient way to obtain gravity field data. A new method has been developed to improve the accuracy of airborne vector Gravimetry. The method introduces a backward strapdown navigation algorithm into the strapdown Gravimetry, which is the reverse process of forward algorithm. Compared with the forward algorithm, the backward algorithm has the same performance in the condition of no sensor error, but has different error characteristics in actual conditions. The differences of the two algorithms in the strapdown Gravimetry data processing are presented by simulations, which show that the two algorithms have different performance in the horizontal attitude measurement and convergence of integrated navigation filter. On the basis of detailed analysis, the procedures of accuracy improvement method are presented. The result of this method is very promising when applying to an actual flight test carried out by a SGA-WZ02 strapdown gravimeter. After applying the proposed method, the repeatability of two gravity disturbance horizontal components were 1.83 mGal and 1.80 mGal under the resolution of 6 km, which validate the effectiveness of the method. Furthermore, the wavenumber correlation filter is also discussed as an alternative data fusion method.
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strapdown airborne Gravimetry quality assessment method based on single survey line data a study by sga wz02 gravimeter
Sensors, 2018Co-Authors: Minghao Wang, Juliang Cao, Kaidong Zhang, Shaokun CaiAbstract:Quality assessment is an important part in the strapdown airborne Gravimetry. Root mean square error (RMSE) evaluation method is a classical way to evaluate the Gravimetry quality, but classical evaluation methods are preconditioned by extra flight or reference data. Thus, a method, which is able to largely conquer the premises of classical quality assessment methods and can be used in single survey line, has been developed in this paper. According to theoretical analysis, the method chooses the stability of two horizontal attitude angles, horizontal specific force and vertical specific force as the determinants of quality assessment method. The actual data, collected by SGA-WZ02 from 13 flights 21 lines in certain survey, was used to build the model and elaborate the method. To substantiate the performance of the quality assessment model, the model is applied in extra repeat line flights from two surveys. Compared with internal RMSE, standard deviation of assessment residuals are 0.23 mGal and 0.16 mGal in two surveys, which shows that the quality assessment method is reliable and stricter. The extra flights are not necessary by specially arranging the route of flights. The method, summarized from SGA-WZ02, is a feasible approach to assess Gravimetry quality using single line data and is also suitable for other strapdown gravimeters.
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Marine Gravimetry using the strapdown gravimeter SGA-WZ
Marine Geophysical Research, 2017Co-Authors: Shaokun Cai, Junbo Tie, Kaidong Zhang, Juliang CaoAbstract:Gravity can be measured in many ways, from static-point observations to dynamic measurement using land vehicles, ships, aircrafts and satellites. China has developed a Gravimetry system based on SINS (Strapdown Inertial Navigation System) named SGA-WZ. This system is the first strapdown Gravimetry system in China. Some airborne Gravimetry campaigns have been implemented using SGA-WZ. The flight tests indicate that the accuracy of SGA-WZ is 1.5 mGal at a 4.8 km resolution. To test the performance of SGA-WZ when installed on a ship, a marine Gravimetry campaign was conducted in the South China Sea in August 2013. In the test, a state-of-the-art commercial sea gravimeter, the LaCoste & Romberg (LR the evaluation of the repeatability was based on repeat lines. The measurement and in-movement alignment algorithm for strapdown gravimeters in the sea are discussed, and the results and analysis of this test are presented. The results from the repeated lines and the comparison with L&R showed that the accuracy of SGA-WZ is at the level of 1 mGal with a resolution between 0.4 and 0.8 km for shipborne Gravimetry. These results indicate that the strapdown Gravimetry system SGA-WZ can be used in marine Gravimetry and the moving base alignment method can improve the computation efficiency greatly when using the strapdown Gravimetry system.
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A New Method for Land Vehicle Gravimetry Using SINS/VEL
Sensors (Basel Switzerland), 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
Kaidong Zhang - One of the best experts on this subject based on the ideXlab platform.
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Improving the Strapdown Airborne Vector Gravimetry by a Backward Inertial Navigation Algorithm.
Sensors (Basel Switzerland), 2018Co-Authors: Minghao Wang, Shaokun Cai, Juliang Cao, Kaidong ZhangAbstract:Strapdown airborne Gravimetry is an efficient way to obtain gravity field data. A new method has been developed to improve the accuracy of airborne vector Gravimetry. The method introduces a backward strapdown navigation algorithm into the strapdown Gravimetry, which is the reverse process of forward algorithm. Compared with the forward algorithm, the backward algorithm has the same performance in the condition of no sensor error, but has different error characteristics in actual conditions. The differences of the two algorithms in the strapdown Gravimetry data processing are presented by simulations, which show that the two algorithms have different performance in the horizontal attitude measurement and convergence of integrated navigation filter. On the basis of detailed analysis, the procedures of accuracy improvement method are presented. The result of this method is very promising when applying to an actual flight test carried out by a SGA-WZ02 strapdown gravimeter. After applying the proposed method, the repeatability of two gravity disturbance horizontal components were 1.83 mGal and 1.80 mGal under the resolution of 6 km, which validate the effectiveness of the method. Furthermore, the wavenumber correlation filter is also discussed as an alternative data fusion method.
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strapdown airborne Gravimetry quality assessment method based on single survey line data a study by sga wz02 gravimeter
Sensors, 2018Co-Authors: Minghao Wang, Juliang Cao, Kaidong Zhang, Shaokun CaiAbstract:Quality assessment is an important part in the strapdown airborne Gravimetry. Root mean square error (RMSE) evaluation method is a classical way to evaluate the Gravimetry quality, but classical evaluation methods are preconditioned by extra flight or reference data. Thus, a method, which is able to largely conquer the premises of classical quality assessment methods and can be used in single survey line, has been developed in this paper. According to theoretical analysis, the method chooses the stability of two horizontal attitude angles, horizontal specific force and vertical specific force as the determinants of quality assessment method. The actual data, collected by SGA-WZ02 from 13 flights 21 lines in certain survey, was used to build the model and elaborate the method. To substantiate the performance of the quality assessment model, the model is applied in extra repeat line flights from two surveys. Compared with internal RMSE, standard deviation of assessment residuals are 0.23 mGal and 0.16 mGal in two surveys, which shows that the quality assessment method is reliable and stricter. The extra flights are not necessary by specially arranging the route of flights. The method, summarized from SGA-WZ02, is a feasible approach to assess Gravimetry quality using single line data and is also suitable for other strapdown gravimeters.
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Marine Gravimetry using the strapdown gravimeter SGA-WZ
Marine Geophysical Research, 2017Co-Authors: Shaokun Cai, Junbo Tie, Kaidong Zhang, Juliang CaoAbstract:Gravity can be measured in many ways, from static-point observations to dynamic measurement using land vehicles, ships, aircrafts and satellites. China has developed a Gravimetry system based on SINS (Strapdown Inertial Navigation System) named SGA-WZ. This system is the first strapdown Gravimetry system in China. Some airborne Gravimetry campaigns have been implemented using SGA-WZ. The flight tests indicate that the accuracy of SGA-WZ is 1.5 mGal at a 4.8 km resolution. To test the performance of SGA-WZ when installed on a ship, a marine Gravimetry campaign was conducted in the South China Sea in August 2013. In the test, a state-of-the-art commercial sea gravimeter, the LaCoste & Romberg (LR the evaluation of the repeatability was based on repeat lines. The measurement and in-movement alignment algorithm for strapdown gravimeters in the sea are discussed, and the results and analysis of this test are presented. The results from the repeated lines and the comparison with L&R showed that the accuracy of SGA-WZ is at the level of 1 mGal with a resolution between 0.4 and 0.8 km for shipborne Gravimetry. These results indicate that the strapdown Gravimetry system SGA-WZ can be used in marine Gravimetry and the moving base alignment method can improve the computation efficiency greatly when using the strapdown Gravimetry system.
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A New Method for Land Vehicle Gravimetry Using SINS/VEL
Sensors (Basel Switzerland), 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
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a new method for land vehicle Gravimetry using sins vel
Sensors, 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
Minghao Wang - One of the best experts on this subject based on the ideXlab platform.
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A new method for underwater dynamic Gravimetry based on multisensor integrated navigation
GEOPHYSICS, 2020Co-Authors: Zhiming Xiong, Shaokun Cai, Juliang Cao, Liao Kaixun, Minghao WangAbstract:Underwater gravity information plays a major role in deepwater oil and gas exploration. To realize underwater dynamic Gravimetry, we have developed a strapdown gravimeter mounted in a pressure capsule for adaption to the underwater environment and we adopted a two-stage towed underwater Gravimetry scheme. An improved strapdown gravimeter and other underwater sensors were installed in a towed vessel to form an underwater dynamic Gravimetry system. Because the global navigation satellite system cannot be used for underwater dynamic Gravimetry, we developed a new method based on underwater multisensor integrated navigation, in which a federal Kalman filter was applied for error estimation. This new method allowed us to obtain the accurate attitude, velocity, and position necessary for gravity estimation. In addition, the gravity data can then be extracted from the noisy data through finite impulse response low-pass filtering. We acquired the underwater gravity data at a depth of 300 m to test the validity of the new method and evaluate the accuracy of the underwater gravity system. The results indicated a repeatability from 0.85 to 0.96 mGal at a half wavelength of approximately 0.2 km and also indicated good consistency with the marine gravity data.
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Improving the Strapdown Airborne Vector Gravimetry by a Backward Inertial Navigation Algorithm.
Sensors (Basel Switzerland), 2018Co-Authors: Minghao Wang, Shaokun Cai, Juliang Cao, Kaidong ZhangAbstract:Strapdown airborne Gravimetry is an efficient way to obtain gravity field data. A new method has been developed to improve the accuracy of airborne vector Gravimetry. The method introduces a backward strapdown navigation algorithm into the strapdown Gravimetry, which is the reverse process of forward algorithm. Compared with the forward algorithm, the backward algorithm has the same performance in the condition of no sensor error, but has different error characteristics in actual conditions. The differences of the two algorithms in the strapdown Gravimetry data processing are presented by simulations, which show that the two algorithms have different performance in the horizontal attitude measurement and convergence of integrated navigation filter. On the basis of detailed analysis, the procedures of accuracy improvement method are presented. The result of this method is very promising when applying to an actual flight test carried out by a SGA-WZ02 strapdown gravimeter. After applying the proposed method, the repeatability of two gravity disturbance horizontal components were 1.83 mGal and 1.80 mGal under the resolution of 6 km, which validate the effectiveness of the method. Furthermore, the wavenumber correlation filter is also discussed as an alternative data fusion method.
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strapdown airborne Gravimetry quality assessment method based on single survey line data a study by sga wz02 gravimeter
Sensors, 2018Co-Authors: Minghao Wang, Juliang Cao, Kaidong Zhang, Shaokun CaiAbstract:Quality assessment is an important part in the strapdown airborne Gravimetry. Root mean square error (RMSE) evaluation method is a classical way to evaluate the Gravimetry quality, but classical evaluation methods are preconditioned by extra flight or reference data. Thus, a method, which is able to largely conquer the premises of classical quality assessment methods and can be used in single survey line, has been developed in this paper. According to theoretical analysis, the method chooses the stability of two horizontal attitude angles, horizontal specific force and vertical specific force as the determinants of quality assessment method. The actual data, collected by SGA-WZ02 from 13 flights 21 lines in certain survey, was used to build the model and elaborate the method. To substantiate the performance of the quality assessment model, the model is applied in extra repeat line flights from two surveys. Compared with internal RMSE, standard deviation of assessment residuals are 0.23 mGal and 0.16 mGal in two surveys, which shows that the quality assessment method is reliable and stricter. The extra flights are not necessary by specially arranging the route of flights. The method, summarized from SGA-WZ02, is a feasible approach to assess Gravimetry quality using single line data and is also suitable for other strapdown gravimeters.
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A New Method for Land Vehicle Gravimetry Using SINS/VEL
Sensors (Basel Switzerland), 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
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a new method for land vehicle Gravimetry using sins vel
Sensors, 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
Juliang Cao - One of the best experts on this subject based on the ideXlab platform.
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A new method for underwater dynamic Gravimetry based on multisensor integrated navigation
GEOPHYSICS, 2020Co-Authors: Zhiming Xiong, Shaokun Cai, Juliang Cao, Liao Kaixun, Minghao WangAbstract:Underwater gravity information plays a major role in deepwater oil and gas exploration. To realize underwater dynamic Gravimetry, we have developed a strapdown gravimeter mounted in a pressure capsule for adaption to the underwater environment and we adopted a two-stage towed underwater Gravimetry scheme. An improved strapdown gravimeter and other underwater sensors were installed in a towed vessel to form an underwater dynamic Gravimetry system. Because the global navigation satellite system cannot be used for underwater dynamic Gravimetry, we developed a new method based on underwater multisensor integrated navigation, in which a federal Kalman filter was applied for error estimation. This new method allowed us to obtain the accurate attitude, velocity, and position necessary for gravity estimation. In addition, the gravity data can then be extracted from the noisy data through finite impulse response low-pass filtering. We acquired the underwater gravity data at a depth of 300 m to test the validity of the new method and evaluate the accuracy of the underwater gravity system. The results indicated a repeatability from 0.85 to 0.96 mGal at a half wavelength of approximately 0.2 km and also indicated good consistency with the marine gravity data.
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Improving the Strapdown Airborne Vector Gravimetry by a Backward Inertial Navigation Algorithm.
Sensors (Basel Switzerland), 2018Co-Authors: Minghao Wang, Shaokun Cai, Juliang Cao, Kaidong ZhangAbstract:Strapdown airborne Gravimetry is an efficient way to obtain gravity field data. A new method has been developed to improve the accuracy of airborne vector Gravimetry. The method introduces a backward strapdown navigation algorithm into the strapdown Gravimetry, which is the reverse process of forward algorithm. Compared with the forward algorithm, the backward algorithm has the same performance in the condition of no sensor error, but has different error characteristics in actual conditions. The differences of the two algorithms in the strapdown Gravimetry data processing are presented by simulations, which show that the two algorithms have different performance in the horizontal attitude measurement and convergence of integrated navigation filter. On the basis of detailed analysis, the procedures of accuracy improvement method are presented. The result of this method is very promising when applying to an actual flight test carried out by a SGA-WZ02 strapdown gravimeter. After applying the proposed method, the repeatability of two gravity disturbance horizontal components were 1.83 mGal and 1.80 mGal under the resolution of 6 km, which validate the effectiveness of the method. Furthermore, the wavenumber correlation filter is also discussed as an alternative data fusion method.
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strapdown airborne Gravimetry quality assessment method based on single survey line data a study by sga wz02 gravimeter
Sensors, 2018Co-Authors: Minghao Wang, Juliang Cao, Kaidong Zhang, Shaokun CaiAbstract:Quality assessment is an important part in the strapdown airborne Gravimetry. Root mean square error (RMSE) evaluation method is a classical way to evaluate the Gravimetry quality, but classical evaluation methods are preconditioned by extra flight or reference data. Thus, a method, which is able to largely conquer the premises of classical quality assessment methods and can be used in single survey line, has been developed in this paper. According to theoretical analysis, the method chooses the stability of two horizontal attitude angles, horizontal specific force and vertical specific force as the determinants of quality assessment method. The actual data, collected by SGA-WZ02 from 13 flights 21 lines in certain survey, was used to build the model and elaborate the method. To substantiate the performance of the quality assessment model, the model is applied in extra repeat line flights from two surveys. Compared with internal RMSE, standard deviation of assessment residuals are 0.23 mGal and 0.16 mGal in two surveys, which shows that the quality assessment method is reliable and stricter. The extra flights are not necessary by specially arranging the route of flights. The method, summarized from SGA-WZ02, is a feasible approach to assess Gravimetry quality using single line data and is also suitable for other strapdown gravimeters.
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Marine Gravimetry using the strapdown gravimeter SGA-WZ
Marine Geophysical Research, 2017Co-Authors: Shaokun Cai, Junbo Tie, Kaidong Zhang, Juliang CaoAbstract:Gravity can be measured in many ways, from static-point observations to dynamic measurement using land vehicles, ships, aircrafts and satellites. China has developed a Gravimetry system based on SINS (Strapdown Inertial Navigation System) named SGA-WZ. This system is the first strapdown Gravimetry system in China. Some airborne Gravimetry campaigns have been implemented using SGA-WZ. The flight tests indicate that the accuracy of SGA-WZ is 1.5 mGal at a 4.8 km resolution. To test the performance of SGA-WZ when installed on a ship, a marine Gravimetry campaign was conducted in the South China Sea in August 2013. In the test, a state-of-the-art commercial sea gravimeter, the LaCoste & Romberg (LR the evaluation of the repeatability was based on repeat lines. The measurement and in-movement alignment algorithm for strapdown gravimeters in the sea are discussed, and the results and analysis of this test are presented. The results from the repeated lines and the comparison with L&R showed that the accuracy of SGA-WZ is at the level of 1 mGal with a resolution between 0.4 and 0.8 km for shipborne Gravimetry. These results indicate that the strapdown Gravimetry system SGA-WZ can be used in marine Gravimetry and the moving base alignment method can improve the computation efficiency greatly when using the strapdown Gravimetry system.
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A New Method for Land Vehicle Gravimetry Using SINS/VEL
Sensors (Basel Switzerland), 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
Lin Wang - One of the best experts on this subject based on the ideXlab platform.
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A New Method for Land Vehicle Gravimetry Using SINS/VEL
Sensors (Basel Switzerland), 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
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a new method for land vehicle Gravimetry using sins vel
Sensors, 2017Co-Authors: Kaidong Zhang, Shaokun Cai, Juliang Cao, Minghao Wang, Lin WangAbstract:The use of Global Navigation Satellite System (GNSS) data for land vehicle Gravimetry tests is challenged by complicated environments. A new approach for land vehicle Gravimetry using a Strapdown Inertial Navigation System and velometer-integrated navigation computation (SINS/VEL) without using GNSS information has been put forward. Aided by the velometer with continuous longitudinal velocity output instead of GNSS signals, a SGA-WZ02 strapdown gravimeter that used the SINS/VEL method was tested in 2015. Four repeated lines were measured along a south-north direction highway in Eastern Changsha to verify the new method’s feasibility and performance. The gravity disturbance results showed an internal accuracy in scalar Gravimetry about 1.17 mGal and 1.91 mGal for external accuracy assessment, with a spatial resolution of 1.7 km. Comparing this new method with the traditional SINS/GNSS Gravimetry approach, it appeared that the results using SINS/VEL showed comparable internal and external accuracy. Theoretical analysis and practical test results showed that the new method was feasible for gravity determination by land dynamic vehicle.
