一种基于二维运动重构的旋转对称目标拟规则进动参数估计方法
doi: 10.3724/SP.J.1146.2013.01310
An Approach for Quasi-regularized Precession Parameters Estimation of Rotation Symmetric Object Based on Two-dimesional Motion Reconstruction
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摘要: 在初始扰动和扭矩的作用下,自旋稳定空间飞行器的运动形式是章动和进动合成的拟规则进动。拟规则进动目标运动参数的估计对于确定目标姿态和预测目标落点具有重要意义。针对拟规则进动的旋转对称目标,该文提出一种基于宽带雷达观测的运动参数估计方法。首先推导了拟规则进动的运动学模型,而后将基于多散射中心1维径向距离历程的目标运动3维重构方法扩展到旋转对称目标的2维运动重构,然后基于2维运动的欧式重构采用序列二次规划和非线性最小二乘循环迭代的方法估计目标的章动和进动参数。最后,利用电磁仿真数据验证了算法的有效性。Abstract: Under the effects of the initial perturbation and torque, the motion of the spin-stability spacecraft is the compound of nutation and precession, named quasi-regularized precession. The motion parameters estimation of the quasi-regularized precession object is important to the determination of the attitude and the reentry point of the object. This paper presents a novel method to estimate the motion parameters of the rotation symmetric object based on the measurements from wideband radar. Firstly, the kinematic model of the quasi-regularized precession is derived; and then the algorithm of 3D motion reconstruction from 1D radial range histories of multiple scatterers is extended to the 2D motion reconstruction of the rotation symmetric object; and thirdly based on the 2D Euclidian motion reconstruction result, the method of nutation and precession parameters estimation is proposed by using the cyclic iterative of sequential quadratic programming and nonlinear least square algorithm. The electromagnetic simulated data show that the proposed method is validated for its effectiveness.
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