摘要
通过参考美国X-43A高超声速飞行器第二次试验飞行弹道,建立了临近空间高超声速目标的运动模型。针对目标跟踪中状态方程和量测方程存在的非线性问题,提出了一种基于不敏卡尔曼滤波的改进"当前"统计模型自适应滤波算法(ADE-UKF),并将此算法与基于"当前"统计模型的不敏卡尔曼滤波算法(CS-UKF)比较,仿真结果表明,该算法在跟踪临近空间高超声速目标时,具有良好的跟踪性能。
The move model of hypersonic targets in near space is built by taking the flight 2 trajectory of X-43A as a reference. In order to solve the problem of the nonlinear character of state equations and measure- ment equations in target tracking,an improved algorithm is presented. Simulations show that this algorithm is availably in target tracking for hypersonic aircrafts in near space.
出处
《航天电子对抗》
2012年第4期10-13,共4页
Aerospace Electronic Warfare
