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Developing algorithms of object motion control on the basis of Kalman filtering of bearing-only measurements

机译:基于纯方位测量的卡尔曼滤波开发目标运动控制算法

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摘要

Consideration was given to the problem of controlling the motion of an object subject to random disturbances. It was assumed that the bearings to beacons with certain coordinates are open to measurements. The bearing angles are nonlinear functions of the current coordinates. Therefore, the present paper suggested a modified method of pseudomeasurements proving bias-free estimates of the current object coordinates using the algorithm of conditionallyoptimal filtering. These estimates underlie the object control algorithm demonstrating the possibility of high-quality tracing of the given motion trajectory.
机译:考虑了控制受到随机干扰的物体的运动的问题。假定具有某些坐标的信标轴承可以进行测量。方位角是当前坐标的非线性函数。因此,本文提出了一种改进的伪测量方法,该方法使用条件最优滤波算法来证明当前对象坐标的无偏差估计。这些估计值是对象控制算法的基础,该算法证明了对给定运动轨迹进行高质量跟踪的可能性。

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