科技创新与应用2025，Vol.15Issue(29)：1-5,5.DOI:10.19981/j.CN23-1581/G3.2025.29.001
基于交互多模型的空间目标序贯滤波跟踪算法
摘要
Abstract
Aiming at the maneuvering characteristics of space objects detected by space-based radar and the scenes with Doppler measurement information,interacting multiple model(IMM)was introduced into the sequential filtering based on Cubature Kalman Filter with Measurement Transformation(CMCKF-D),and Interacting Multiple Model-based Cubature Mixture Correntropy Kalman Filter with Diffusion(IMM-CMCKF-D)was obtained.The algorithm is based on multiple motion models.The filters algorithm corresponding to the sub-models use CMCKF-D sequential filtering to process the three-dimensional position information and Doppler information of the target.Finally,the filter outputs are fused according to the model probability to obtain the final state estimation result.Monte Carlo simulation results show that the proposed algorithm can effectively track maneuvering targets.关键词
目标跟踪/交互多模型(IMM)/序贯滤波/多普勒量测/容积卡尔曼滤波Key words
target tracking/interacting multiple model(IMM)/sequential filtering/Doppler measurement/cubature Kalman filter分类
航空航天引用本文复制引用
岑倩倩,李世强..基于交互多模型的空间目标序贯滤波跟踪算法[J].科技创新与应用,2025,15(29):1-5,5.基金项目
科工局民用航天技术预先研究项目(D010105) （D010105）
