摘要
针对UPF算法精度较高,但计算量大的问题,基于对精度与实时性考虑,提出了UPF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.
In view of the higher accuracy of UPF algorithm but the heavier calculation burden, a new model that combines UPF with RBF neural networks and the algorithm of maneuvering target tracking were presented in terms of its accuracy and the real time. Simulation results show that the algorithm is available.
出处
《空军雷达学院学报》
2006年第3期164-166,共3页
Journal of Air Force Radar Academy
