GPS动态定位数据处理模型的比较研究 (英文)

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.

Comparison of models for GPS kinematic data processing

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).