扩展式机动目标可调白噪声模型

在目标跟踪过程中,每个量测周期所得到的雷达量测数据以极坐标形式表示。量测方程在极坐标中是线性的,但在笛卡儿坐标系中却是非线性的。此时,目标跟踪实际上是非线性的。随着现代航空、航天技术的发展,飞行器的机动性得到了更大的加强,这就使跟踪问题变得更加困难和复杂。针对非线性机动目标跟踪问题,提出了一种扩展式当前统计模型机动目标跟踪算法。该算法不需要假定目标的机动加速度模型,而是直接正确地估计出机动目标的当前状态,不存在任何估计滞后与修正问题。最后,给出了算法的仿真分析。

Extended Adjustable White Noise Model for Maneuvering Target

When tracking a target,the measurement of the target is usually obtained in polar coordinates.The measurement equation is linear in polar coordinates but is nonlinear in cartesian coordinates.Then,we need use a nonlinear method to solve the problem of target tracking in practice.With the development of modern aviation techniques,the maneuverability of aircraft has been much improved.So it makes the target tracking get much more difficult.The paper presents an extended adjustable white noise model for nonlinear maneuvering target.The algorithm is not necessary to assume the model of maneuvering target,but adapting noise quotient by using the range of innovation,and modify the estimation.At last,a Monte Carlo simulation is used to analyze the performance of the method.