摘要
针对传统的交互多模型滤波算法中存在模型概率固化导致跟踪精度不高的问题,提出了基于改进交互多模型滤波的目标跟踪波形优化算法。首先,通过联合前后两个时刻的模型概率对概率转移矩阵进行加权来改进交互多模型滤波;然后,基于帐篷映射以及高斯扰动对秃鹰搜索算法进行改进;最后,在多目标场景下根据最大互信息准则,利用改进的交互多模型滤波建立目标函数,使用改进的秃鹰搜索算法设计出最优发射波形。仿真结果表明,使用所提算法可显著降低跟踪误差。
Aiming at the problem of low tracking accuracy caused by the solidification of model probability in the traditional interactive multi-model filtering algorithm,a target tracking waveform optimization algorithm based on improved interactive multi-model filtering is proposed.Firstly,the probability transition matrix is weighted by combining the model probabilities of the two moments to improve the interactive multi-model filtering.Then the bald eagle search algorithm is improved based on tent mapping and Gaussian perturbation.Finally,in the multi-target scenario,according to the maximum mutual information criterion,the improved interactive multi-model filter is used to establish the objective function,and the improved bald eagle search algorithm is adopted to design the optimal transmission waveform.The simulation results show that the tracking error can be significantly reduced by using the algorithm.
作者
贾茹
张贞凯
杜聪
JIA Ru;ZHANG Zhenkai;DU Cong(Jiangsu University of Science and Technology,Zhenjiang 212000,China)
出处
《电光与控制》
CSCD
北大核心
2023年第5期105-110,共6页
Electronics Optics & Control
基金
国家自然科学基金(61871203)。
