基于循环神经网络的高超声速机动目标状态估计算法  

Hypersonic Maneuvering Target State Estimation Algorithm Based on Recurrent Neural Network

作　　者：臧红岩 谢晓龙 徐亚周 陶业 高长生[1] ZANG Hongyan;XIE Xiaolong;XU Yazhou;TAO Ye;GAO Changsheng(School of Astronautics,Harbin Institute of Technology,Harbin 150001,China;Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China)

机构地区：[1]哈尔滨工业大学航天学院,黑龙江哈尔滨150001 [2]上海机电工程研究所,上海201109

出　　处：《空天防御》2024年第4期88-98,共11页Air & Space Defense

基　　金：国家自然科学基金项目(12302056);中国航天科技集团有限公司上海航天科技创新基金项目(SAST2021-002)。

摘　　要：针对高超声速机动目标运动状态的实时、高精确估计问题,提出了一种基于循环神经网络的高超声速机动目标状态估计算法。首先,将气动参数作为缓变量引入半速度系下的高超声速飞行器运动模型中,建立了高超声速机动目标状态估计模型,并给出了地面雷达测量模型;其次,考虑到高超目标的策略性机动带来的模型不确定性会超出常规滤波方法的处理能力,基于高超声速飞行器运动模型建立目标机动行为数据集,对其在实际作战过程中可能出现的运动行为进行模拟;然后,将多模型滤波与循环神经网络相结合设计了多滤波器联合估计算法;最后,在多种仿真条件下对本文所提出的算法进行了仿真验证。仿真结果表明,提出的高超声速机动目标状态估计算法可实现对高超声速目标机动变化的快速响应,并且算法的估计结果平滑、精度高,有利于后续预报。To achieve real-time and highly accurate estimation of the motion state of a hypersonic maneuvering target,a hypersonic maneuvering target state estimation algorithm based on recurrent neural network was proposed in the study.Firstly,the aerodynamic parameters were introduced into the hypersonic vehicle motion model in the half-speed system as a slow variable,allowing the state estimation model of the hypersonic maneuvering target to be established and the ground radar measurement model to be determined.Then,considering that the model uncertainty caused by the strategic maneuvering of the hypersonic target would exceed the processing ability of the conventional filtering method,the target maneuvering behavior data set was created based on the hypersonic vehicle motion model and the motion behavior that may occur in the actual combat operations was simulated.After that,the multi-filter joint estimation algorithm was designed by combining multimodel filtering with recurrent neural networks.Finally,the proposed algorithm was simulated and verified under different simulation conditions.The simulation results show that the proposed hypersonic maneuvering target state estimation algorithm can successfully achieve rapid response to hypersonic target maneuvering changes,which are smooth,highly precise,and beneficial to subsequent prediction.

关 键 词：高超声速机动目标 状态估计 循环神经网络 多模型 多滤波器联合估计算法 

分 类 号：V412[航空宇航科学与技术—航空宇航推进理论与工程]