摘要
针对UKF算法精度较高,但计算负担繁重的问题,基于对精度与实时性考虑,提出了UKF与径向基神经网络相结合的模型与机动目标跟踪算法。通过计算机模拟仿真,证明了该算法的可行性。
Considered the high accuracy of UKF algorithm and the heavy burden,a new model and algorithm that UKF incorporated in RBF neural networks were presented based on the accuracy and the real time.The simulation results show that the algorithm is available.
出处
《信息技术》
2012年第2期101-103,122,共4页
Information Technology
关键词
非线性滤波
UKF
RBF神经网络
机动目标
non-linear filter
unscented Kalman tilter
RBF neural networks
maneuvering target
