This paper introduces a hybrid configuration design to enhance the precision of satellite antenna position measurement.By fixing the circular array antenna on the antenna mounting surface and integrating coordinate sy...This paper introduces a hybrid configuration design to enhance the precision of satellite antenna position measurement.By fixing the circular array antenna on the antenna mounting surface and integrating coordinate system transformation relationships with interferometric direction finding(DF)and positioning technology,accurate estimation of the antenna position is ensured.This method optimizes the quality and stability of data fusion by integrating pulse parameter characteristics,satellite orbit and attitude information,as well as the field of view information from observation stations,using techniques such as maximum-ratio-combining(MRC)and orbit extrapolation.Specifically,the sampling-importance resampling particle-filtering and Kalman-filtering(SIR-PF-KF)hybrid filtering prediction technology is employed to precisely predict and correct the three-dimensional(3D)position errors of the L-array antenna.Through data processing of five to nine orbits,accurate estimation of the antenna’s 3D position is achieved,achieving an estimation accuracy of 3μm,significantly improving the accuracy of on-orbit rapid calibration.Experimental results show that the interferometer positioning accuracy is improved from 7.9 km before antenna position correction to within 0.2 km after correction,verifying the effectiveness and practicability of this method,which aims to address issues with positioning accuracy.展开更多
文摘This paper introduces a hybrid configuration design to enhance the precision of satellite antenna position measurement.By fixing the circular array antenna on the antenna mounting surface and integrating coordinate system transformation relationships with interferometric direction finding(DF)and positioning technology,accurate estimation of the antenna position is ensured.This method optimizes the quality and stability of data fusion by integrating pulse parameter characteristics,satellite orbit and attitude information,as well as the field of view information from observation stations,using techniques such as maximum-ratio-combining(MRC)and orbit extrapolation.Specifically,the sampling-importance resampling particle-filtering and Kalman-filtering(SIR-PF-KF)hybrid filtering prediction technology is employed to precisely predict and correct the three-dimensional(3D)position errors of the L-array antenna.Through data processing of five to nine orbits,accurate estimation of the antenna’s 3D position is achieved,achieving an estimation accuracy of 3μm,significantly improving the accuracy of on-orbit rapid calibration.Experimental results show that the interferometer positioning accuracy is improved from 7.9 km before antenna position correction to within 0.2 km after correction,verifying the effectiveness and practicability of this method,which aims to address issues with positioning accuracy.
