跟踪机动目标的一种新方法的研究(英文)

The Study of a New Method for Tracking Maneuvering Targets

本文提出了跟踪三维空中机动目标的一种新方法,在这种方法中,未知的目标加速度被认为是具有非零均值、时间相关的随机过程并将它的概率密度函数假定为截断正态型。借助于切比雪夫(Chebyshev)不等式来确定目标随机加速度的均值和方差之间的关系。理论分析和仿真结果表明,由作者们提出的模型和算法去跟踪恒加速目标时稳态偏差为零,从而消除了R.A.Singer方法在跟踪恒加速度目标时所存在的稳态偏差。给出了计算机仿真结果。截断正态概率密度模型和自适应算法适合于跟踪高度机动目标并且易于实现。

A new method for the three-dimentional airborne maneuvering target tracking problem is presented.In this method,the unknown target acceleration is considered as a time-correlation random process with non-zero mean values and the probability density function of the acceleration is assumed truncated normal.The relationship between (he random accelation's mean value and its variance is determined by Tchebycheff Inequality.With this method,the steady-state values are eliminated in response to a unit-step acceleration.The results of computer-simulation are given.The truncated normal probability density model and adaptive algorithm are suitable for tracking a highly maneuvering target and easy to implement.