基于BP神经网络的随机信号筛选算法

Signals of Opportunity Screen Algorithm Based on BP Neural Networks

在随机信号导航研究中,可接收到的信号数量众多、种类繁杂、特征多样,难以从中选择出适用于导航的信号。针对随机信号的筛选问题,提出了一种基于BP神经网络的随机信号筛选算法。该算法通过输入随机信号的特征信息,对随机信号的定位误差进行了估计,通过定位信息的误差对将信号用于导航的效果进行了评估。仿真结果表明,该算法能够对由随机信号解算而得到的导航信息误差进行估计,可以达到较好的筛选效果。

In the research of signals of opportunity navigation,it's significant to screen the adaptive signals of opportunity for navigation from all the received signals.Then a signals of opportunity screen algorithm based on BP neural networks is put forward to estimate the error of navigation information by signals characteristic.The simulation shows that,this algorithm has preeminent performances for signals of opportunity screening.