GPS动态定位数据处理模型的比较研究 (英文) |
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作者单位: | [1]Department of Civil Engineering, Guilin University of Technology, Guilin 541004, China [2]不详, Guilin University of Technology, Guilin 541004, China |
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基金项目: | Supported by the National Natural Foundation of China (No.40574002), the Natural Foundation of Guang Xi Zhuang Autonomous Region (No. 0728097). |
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摘 要: | The characteristics of three GPS kinematic data processing models, Least Squares (LS), Kalman filtering and filtering are discussed and their advantages and disadvantages are compared. With observational data and pertinent data processing software, the applicable condition, context and effect of the three models are experimented. Results show that when the mobile platform is in uniform motion, the accuracy of the three models are almost equal; when the mobile platform is in stochastic acceleration, the accuracy of H∞ filtering model is superior to that of LS, while that of Kalman filtering is the worst.
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关 键 词: | 运动学 数据处理 全球定位系统 模型实验 |
Comparison of models for GPS kinematic data processing |
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Authors: | Lilong Liu Hongyan Wen Bin Liu |
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Institution: | (1) Department of Civil Engineering, Guilin University of Technology, Guilin, 541004, China |
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Abstract: | The characteristics of three GPS kinematic data processing models, Least Squares (LS), Kalman filtering and H
∞ filtering are discussed and their advantages and disadvantages are compared. With observational data and pertinent data processing
software, the applicable condition, context and effect of the three models are experimented. Results show that when the mobile
platform is in uniform motion, the accuracy of the three models are almost equal; when the mobile platform is in stochastic
acceleration, the accuracy of H
∞ filtering model is superior to that of LS, while that of Kalman filtering is the worst.
Supported by the National Natural Foundation of China (No.40574002), the Natural Foundation of Guang Xi Zhuang Autonomous
Region (No. 0728097). |
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Keywords: | LS Kalman filtering H ∞ filtering |
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