复杂对抗环境下的组合滤波算法设计及稳定性分析  

A Combined Filtering Algorithm for Complex Confrotation Environments

作　　者：刘晓阳 徐磊 吴凯 董诗音 姜鸿儒 LIU Xiaoyang;XU Lei;WU Kai;DONG Shiyin;JIANG Hongru(Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China)

机构地区：[1]上海机电工程研究所,上海201109

出　　处：《指挥与控制学报》2025年第1期117-122,共6页Journal of Command and Control

摘　　要：针对体系作战下多种数据率、不同探测精度传感器的协同探测、目标机动等复杂场景下的数据滤波处理问题,建立了基于最优迭代的多级组合α-β滤波算法。针对多模滤波器切换引起的数据抖动问题,该算法在多级最优α-β滤波器框架内,将原本相互独立的最优滤波数据通过迭代方式进行了继承,实现了不同滤波器之间最优滤波数据的反馈,从机理上避免了数据抖动问题。通过对系统闭环特征方程的分析,借助于连续系统的劳斯-赫尔维茨判据,建立了滤波算法稳定/收敛的充分必要条件,给出了滤波增益α、β的选取范围,为多级组合滤波器参数的选取提供了更直观的参考依据。仿真结果验证了最优组合滤波算法的有效性。For the problem of data filtering processing in complex scenes such as multiple data rates,collaborative detection of sensors with different detection accuracy and target maneuver,etc.a multistage combined α-β filtering algorithm based on optimal iteration is proposed.For the data jitter problem caused by the switch of multimode filter,the original and independent optimal filter data are inherited by iteration mode in the framework of multistage optimal α-β filter,and the feedback of optimal filter data between different filters is realized,the problem of data jitter in mechanism is avoided.In addition,the closed-loop characteristic equation of the system is analyzed and the Routh-Hurwitz criterion of the continuous system is utilized,the necessary and sufficient conditions for the stability/convergence of the filter algorithm are established,and the selection range of the filter gain α、 β are given,a more intuitive reference for the selection of the parameters of the multistage combined filter is provided.The simulation results verify the effectiveness of the optimal combined filtering algorithm.

关 键 词：复杂对抗 多级组合α-β滤波 最优迭代 稳定性分析 

分 类 号：TN911.7[电子电信—通信与信息系统]