摘要
卡尔曼滤波方法适合于非平稳随机信号的实时处理。在SLR资料的实时处理工作中引入了该滤波方法，并在卫星精密定轨的大型软件SHORDE1中已经基本调试完成。对SLR资料实时归算的结果表明这一滤波方法的软件调试是成功的，而且该算法对短弧SLR实时资料的处理也是有效的。
Kalman filtering is fit for real time data reduction of unstable stochastic processes. This filtering method is introduced into the task of SLR real time data reduction and has been implemented in the software SHORDE1 for satellite precision orbit detendnation. Data reduction has indicated that the debugging of Kalman filter in SHORDE1 package is successful, and that Kalman filtering is effective in real time SLR data reduction as far as short-arc adjustment is concerned.
出处
《中国科学院上海天文台年刊》
1999年第20期113-117,共5页
Annals Shanghai Astronomical Observatory Chinese Academy of Sciences
