再入目标质阻比估计算法研究

再入段目标识别的核心问题是快速高精度地估计出目标的质阻比。针对再入过程的非线性问题,重点研究了样条卡尔曼滤波器、扩展卡尔曼滤波器和一种基于"无损传输"的扩展卡尔曼滤波器,仿真实验从质阻比的估计精度和收敛速度以及计算量等方面比较了各滤波算法的性能。仿真结果表明基于无损传输的扩展卡尔曼滤波器的估计精度最高,收敛速度最快。

Research on Estimation of Mass-to-drag Ratio of Reentry Objects

The key problem for reentry vehicle (RV) discrimination during the reentry phase is to estimate the mass-to-drag ratio of RV precisely and rapidly. Aiming at the nonlinear characteristic of reentry process, three filters:as spline Kalman filter, extended Kalman filter and a new extended Kalman filter based on "unscented transform" are studied. The comparison of estimating performance for these filters are provided through simulating experiment with terms of estimating precision and converging speed. Experimental results show that the new EKF based on "unscented transform" has the best performance on the estimation of mass-to-drag ratio.