简化DDF算法及其在单星对星无源定轨跟踪中的应用  

Simplified DDF Algorithm and the Application for Satellite-to-Satellite Passive Orbit Determination and Tracking

作　　者：吴顺华[1] 辛勤[1] 万建伟[1] 

机构地区：[1]国防科技大学电子科学与工程学院一所信号处理室,长沙410073

出　　处：《宇航学报》2009年第4期1557-1563,共7页Journal of Astronautics

基　　金：武器装备预研基金资助项目(9140A20010107KG0163)

摘　　要：单星对星无源定轨跟踪是典型的非线性滤波问题,其中非线性滤波算法至关重要。DDF算法具有良好的精度与稳定性且适用范围更广,不过计算量较大。单星对星无源定轨中系统噪声通常是加性高斯的,根据这一特点对标准DDF算法进行简化。简化后加性噪声可以进行单独处理,基于此,提出一种计算复杂度更低的SD-DF算法,并运用于仅测角条件下的单星对星无源定轨跟踪。SDDF算法具有比EKF更高的精度和更好的稳定性,其性能与标准DDF相同但是计算耗时更少,特别适合于单星对星无源定轨跟踪实时处理。The satellite-to-satellite passive orbit determination and tracking is a typical nonlinear filtering question, and the nonlinear filtering algorithm is very important for it. The convergence accuracy, stability and applicability of DDF are good, but the computation is complicated. The noise is added in satellite-to-satellite passive orbit determination systems commonly, hereby the standard DDF algorithm could be simplified. After simplified, the added noise could be processed separately, and a Simplified DDF （SDDF） algorithm is proposed based on it. Then the SDDF is applied to the satellite-tosatellite bearing-only passive orbit determination and tracking. Compared with EKF, higher accuracy of location and better stability are obtained by using SDDF; and the time-consume of SDDF is less than standard DDF, but its performance is no less than latter. The SDDF algorithm is very suitable for real-time processing in the satellite-to-satellite passive orbit determination and tracking system.

关 键 词：非线性滤波 差分滤波 简化差分滤波 无源定位 卫星定轨 

分 类 号：V55[航空宇航科学与技术—人机与环境工程]