空天防御2025，Vol.8Issue(5)：53-63,74,12.
基于球容积卡尔曼滤波器的鲁棒无源被动定位算法
A Robust Passive Localization Algorithm Based on Spherical Cubature Kalman Filter
摘要
Abstract
In substantial interference and adversarial combat environments,carrier aircraft should avoid prolonged radar exposure to targets to improve safety.In this scenario,the missile can only be operated in passive mode,detecting the radiation signal of the target itself through passive radar to obtain its orientation.Due to the inability to directly obtain distance and velocity information,new challenges arise for designing a target localization algorithm.Besides,measurements obtained by passive radar often contain a large number of outliers,and partial frames may be lost.Therefore,date anomalies are a complicated problem frequently encountered in engineering practice.Improper handling can lead to algorithm divergence.To address these problems,this paper conducts research on the issue of passive localization with only angle measurements.A robust passive positioning algorithm based on the spherical cubature Kalman filter had been designed and tested.关键词
无源被动定位/协同定位/球容积卡尔曼滤波器/鲁棒滤波Key words
passive localization/cooperative localization/spherical cubature Kalman filter/robust filter分类
航空航天引用本文复制引用
刘源渊,张顺家,杨艺,耿建强..基于球容积卡尔曼滤波器的鲁棒无源被动定位算法[J].空天防御,2025,8(5):53-63,74,12.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项目(SAST2021-053) （SAST2021-053）
