文献类型：会议论文

英文题名：Maneuvering target tracking based on adaptive square root cubature Kalman filter algorithm

作者：Wang, Sisi[1]; Wang, Lijun[1]

机构：[1] School of Navigation, Guangdong Ocean University, 40#, East Jiefang Road, Zhanjiang, China

会议论文集：Proceedings of the 2012 International Conference on Information Technology and Software Engineering - Information Technology, ITSE 2012

会议日期：December 8, 2012 - December 10, 2012

会议地点：Beijing, China

语种：英文

外文关键词：Adaptive filters - Bandpass filters - Adaptive filtering - Kalman filters - Target tracking

外文摘要：Concerning low accuracy even divergence of maneuvering target tracking due to inaccurate tracking model and statistical property, an adaptive Square Root Cubature Kalman Filter (SCKF) is proposed based on the standard SCKF and modified Sage-Husa estimator. The proposed algorithm can estimate the statistical parameters of unknown system noises online, and restrain the tracking error caused by unknown system noises effectively; hence it is applied to maneuvering target tracking. The simulation is preformed latterly and experimental results show that comparing with the standard SCKF algorithm, the adaptive SCKF can achieve better accuracy and stability for maneuvering target tracking while the system noises is unknown and time variation. ? 2013 Springer-Verlag.