现代雷达2016，Vol.38Issue(5)：49-53,81,6.DOI:10.16592/j.cnki.1004-7859.2016.050.12
针对临近空间目标跟踪的自适应AMCKF算法
Ada ptive AMCKF Algorithm for Near Space Target Tracking
摘要
Abstract
Near space vehicle has complex maneuvering and multi-phased trajectory characteristics .In the process of target track-ing, lower tracking accuracy or filtering divergence problem is prone to happen due to the large model error .For this problem, add-ed attenuation factor is introduced into the cubature Kalman filter to compensate the model error by attenuating memory method . Also a real-time identification method for cubature Kalman filter attenuation factor is proposed to achieve adaptive tracking purpose . The simulation results show that attenuation memory cubature Kalman filter can solve the model mismatch problem , adaptive algo-rithm will assign attenuation factor in real-time to avoid difficult issues for ranging attenuation factor so as to get a better tracking performance .关键词
临近空间/容积卡尔曼滤波/衰减记忆/自适应算法Key words
near space/cubature Kalman filter/attenuation memory/adaptive algorithm分类
信息技术与安全科学引用本文复制引用
聂晓华,张夫鸣..针对临近空间目标跟踪的自适应AMCKF算法[J].现代雷达,2016,38(5):49-53,81,6.
