UPF与RBF结合的机动目标跟踪算法  

Algorithm of Tracking Maneuvering Target With Combination of UPF and RBF

作　　者：徐占刚[1] 俞志强[2] 桑成伟[1] 彭焱[1] 

机构地区：[1]空军雷达学院研究生管理大队,武汉430019 [2]空军雷达学院科研部,武汉430019

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

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.

关 键 词：非线性滤波 Unscented粒子滤波 RBF神经网络 机动目标 

分 类 号：TN957[电子电信—信号与信息处理]