空天防御2025，Vol.8Issue(2)：58-65,8.
基于IMM-SRCKF对机动目标的多弹协同被动定位算法
Multi-Missile Cooperative Passive Localization Algorithm Based on IMM-SRCKF for Maneuvering Targets
摘要
Abstract
A multi-missile cooperative passive localisation algorithm was proposed to address air manoeuvring targets'localisation and tracking problem based on the interacting multiple models and square root cubature Kalman filter(IMM-SRCKF).First,the movement of the manoeuvring target was analysed,and its equations were determined.Then,the state-space model of the multi-missile cooperative scenario was established,and the passive localisation algorithm was designed as follows.The square root cubature Kalman filter was used to improve the localisation accuracy of the algorithm and keep the covariance matrix positively characterised.The interacting multiple model algorithm resolved the filter divergence problem caused by the target model mismatch.The simulation results show that the IMM-SRCKF algorithm can effectively utilise the measurements of various missiles to accomplish cooperative passive localisation of manoeuvring targets with good positioning accuracy and robustness.关键词
多弹协同/被动定位/机动目标/平方根容积卡尔曼滤波/交互多模型Key words
multi-missile coordination/passive localization/maneuvering targets/square root cubature Kalman filter(SRCKF)/interacting multiple model(IMM)分类
航空航天引用本文复制引用
张雨格,耿建强,杨光宇,朱苏朋,侯振乾,符文星..基于IMM-SRCKF对机动目标的多弹协同被动定位算法[J].空天防御,2025,8(2):58-65,8.基金项目
中国航天科技集团有限公司上海航天科技创新基金资助项目(SAST2022-004) （SAST2022-004）
