指挥控制与仿真2024，Vol.46Issue(5)：62-68,7.DOI:10.3969/j.issn.1673-3819.2024.05.009
一种面向纯方位机动目标跟踪的伪线性卡尔曼滤波方法
A pseudo linear Kalman filtering algorithm for bearings-only maneuvering target tracking
摘要
Abstract
A modified range parameterized instrumental variable pseudo linear Kalman filter(MRP-IVPLKF)algorithm is proposed for single station bearings-only ground maneuvering target tracking.Firstly,based on the detection range of the ob-servation station,the relative range between the target and the observation station is divided into several sub-intervals using range parameterization,and instrumental variable pseudo linear Kalman filters are independently operated.Then,based on the filtering innovation and innovation covariance,the sub-filter weights are updated and target maneuvering is detected,en-suring filter stability by resetting the sub-filter weights and state information.Finally,the state information of each sub-filter is weighted and fused to obtain the target state,solving the problem of the decrease in tracking accuracy caused by unknown initial range and target maneuvering.The simulation results show that the position tracking accuracy of the algorithm proposed in this article is significantly improved compared to traditional methods,and can effectively achieve tracking of maneuvering targets.关键词
距离参数化/工具变量/伪线性滤波/目标跟踪/机动检测Key words
range parameterized/instrumental variable/pseudo linear Kalman filter/target tracking/maneuver detection引用本文复制引用
刘锡楠,吴盘龙,薄煜明..一种面向纯方位机动目标跟踪的伪线性卡尔曼滤波方法[J].指挥控制与仿真,2024,46(5):62-68,7.基金项目
航空科学基金(2022Z037059001、20220001059001) （2022Z037059001、20220001059001）
上海航天科技创新基金(SAST2021-027、SAST2021-056) （SAST2021-027、SAST2021-056）
