基于神经网络的机动目标自适应跟踪算法

摘要

The tracking accuracy and the stability problem of immobile or weak mobile target have been trap to round people.This paper basis current statistics model of mobile target and the adaptive filtering algorithm of mean and variance.Constructived to put forward adaptive tracking algorithm of mobile target based on the neural network.Simulation experiments show it's effectiveness.%非机动或弱机动目标的跟踪精度和稳定性问题一直困绕着人们,根据机动目标"当前"统计模型和均值与方差自适应滤波算法,建设性提出了基于神经网络的机动目标自适应跟踪算法,并以仿真实验给予了验证.