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基于正反Kalman滤波的动基座重力仪数据处理方法
引用本文:熊志明,郭刚,李东明,罗骋,李海兵.基于正反Kalman滤波的动基座重力仪数据处理方法[J].导航与控制,2017,16(1):74-80.
作者姓名:熊志明  郭刚  李东明  罗骋  李海兵
作者单位:北京航天控制仪器研究所,北京,100039
基金项目:国家高技术研究发展(863)计划,国家国际科技合作专项,航天科技集团公司九院创新基金项目
摘    要:重力数据处理是动基座重力仪的核心技术,采用了一种基于正反Kalman滤波的数据处理方法提取重力异常值.以动基座重力仪(Sea and Air Gravity,SAG)为研究对象,根据系统参数推导了Kalman滤波方程,并运用正反Kalman滤波方法处理了SAG某飞行架次的数据.将提取的重力异常值与同机搭载飞行的俄罗斯高精度重力仪GT-1A的结果进行比对,试验结果表明,两者滤波结果差值的均方根误差要小于1 mGal.

关 键 词:动基座重力仪  重力异常  重力数据处理  正反Kalman滤波

Gravity Data Processing Based on Forward and Backward Kalman Filter
XIONG Zhi-ming,GUO Gang,LI Dong-ming,LUO Cheng and LI Hai-bing.Gravity Data Processing Based on Forward and Backward Kalman Filter[J].Navigation and Control,2017,16(1):74-80.
Authors:XIONG Zhi-ming  GUO Gang  LI Dong-ming  LUO Cheng and LI Hai-bing
Institution:Beijing Institute of Aerospace Control Devices;Beijing Institute of Aerospace Control Devices;Beijing Institute of Aerospace Control Devices;Beijing Institute of Aerospace Control Devices;Beijing Institute of Aerospace Control Devices
Abstract:Gravity data processing is the key technology of moving base gravimeter. A data processing method based on forward and backward Kalman filter was used to extract gravity anomaly. According to the system parameter of sea and air gravity (SAG), Kalman filter equation was deduced and flight data of SAG was processed through forward and backward Kalman filter. It was shown that the root-mean-square error of the difference of gravity anomaly is lower than 1 mGal by comparing the gravity anomaly result of SAG with GT-1A which both been carried on the airplane
Keywords:moving base gravimeter  gravity anomaly  gravity data processing  forward and backward Kalman filter
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