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Improved Estimation of Kinematic State of Reentry Ballistic Targets with Modeling of Colored and Nonstationary Seeker Noise

机译:彩色和非平稳导引头噪声建模对折返弹道目标运动状态的改进估计

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摘要

A method is presented for modeling the nonstationary and correlated noise of the RF seeker for estimating the target acceleration and the relative kinematics for endo-atmospheric engagement. The estimator also incorporates the dynamics of the seeker track loop. The state model estimates the acceleration of the target directly along with relative position and velocity. This model also include the ratio of the air density and the ballistic coefficient and its time derivatives as elements of the state vector to account for the aerodynamic drag in the endo-atmospheric phase. Such formulations obviate the need for priori empirical models of air density and drag coefficient. Performance results of the proposed method have been compared with a well-known model from the literature with and without the model of the measurement dynamics and the nonstationary, correlated measurement noise under closed-loop guidance employing the augmented proportional navigation (APN) law for endo-atmospheric ballistic target tracking. It is clearly seen that the proposed method yields more accurate estimates of target acceleration and the relative kinematics.
机译:提出了一种对RF导引头的非平稳噪声和相关噪声建模的方法,以估算目标加速度和大气层内啮合的相对运动学。估计器还合并了搜索器跟踪回路的动力学。状态模型直接估计目标的加速度以及相对位置和速度。该模型还包括空气密度与弹道系数之比及其时间导数作为状态向量的要素,以说明大气内相中的空气阻力。这样的公式消除了对空气密度和阻力系数的先验经验模型的需要。将该方法的性能结果与文献中的已知模型进行了比较,该模型使用或不使用测量动力学模型,并且在闭环制导下采用增强比例导航(APN)律对非平稳,相关的测量噪声进行了内推。大气弹道目标跟踪。可以清楚地看到,所提出的方法产生了对目标加速度和相对运动学的更准确的估计。

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