摘要
该文对机动目标模型进行了Monte Carlo仿真研究。提出了一种描述机动目标运动状态的自适应高斯模型,在这种模型中,机动目标的加速度被认为是具有非零均值、时间相关的随机过程,并假定其概率密度函数服从高斯分布;对机动目标模型进行了Monte Carlo仿真研究,结果表明该模型对机动目标在不同机动方式下的位置、速度和加速度均有良好的跟踪精度。
In this paper,a new model for maneuvering target is proposed based on the study of maneuvering target modeling.In this model,the acceleration of a maneuvering target is considered as a time-correlation random process with non-zero mean values and the probability density function of the acceleration is assumed Gaussian probability density function.The mean value of the function is the optimal estimation of the target acceleration at present and its variance is directly proportional to the square of the difference of the optimal estimations of the target acceleration at present.The Monte Carlo simulation on the models of maneuvering targets is studied in this paper and its results show that the model proposed in this paper can described the movement of maneuvering target accurately,no matter the target is maneuvering at any way.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第13期9-12,共4页
Computer Engineering and Applications
基金
国家"九五"
"十五"预研项目
