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作 者:张福涛 张维 白小二 张仕元[1] ZHANG Futao;ZHANGWei;BAI Xiao’er;ZHANG Shiyuan(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)
出 处:《空天预警研究学报》2023年第5期331-334,共4页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
摘 要:弹道导弹再入段运动非线性程度高,常规一阶扩展卡尔曼滤波(EKF)质阻比估计方法因模型近似误差大而导致收敛较慢.为此,提出了基于二阶EKF的弹道目标质阻比估计方法,通过保留泰勒级数展开后的更高阶项来降低对非线性运动模型的近似误差,提高质阻比估计精度和收敛速度.仿真结果表明,相比于一阶EKF方法,利用二阶EKF方法估计的真假弹头目标的质阻比可在更高的高度上体现出差异,且收敛速度更快.Since the motion of ballistic missile in reentry phase has high nonlinear degree,the conventional first-order extended Kalman filter(EKF)mass-to-drag ratio estimation method converges slowly because of the large approximate error of the model.In view of this,the paper proposes a mass-to-drag ratio estimation method for ballistic targets based on second-order EKF.By keeping the higher order term after Taylor series expansion,the approximate error of the nonlinear motion model is reduced,and the estimation accuracy and convergence speed of the mass-to-drag ratio are improved.The simulation results show that compared with the first-order EKF method,the mass-to-drag ratio of real and false warhead targets estimated by using the second-order EKF method can show differences at higher altitudes,and can also converge faster.
分 类 号:TN957[电子电信—信号与信息处理]
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