卡尔曼滤波方法在SHORDE1软件中的实现  

INSTRUMENTATION OF KALMAN FILTERING IN SHORDE1 PACKAGE

作　　者：蒋虎[1] 

机构地区：[1]中国科学院上海天文台,上海200030

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

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.

关 键 词：卡尔曼滤波 卫星激光测距 递推算法 SLR资料 资料处理 随机信号 

分 类 号：P228.5[天文地球—大地测量学与测量工程] O211.64[天文地球—测绘科学与技术]