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Maneuvering Target Tracking Algorithm Based on Muti-paramter Sequential Extended Kalman Filter 被引量:2
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作者 JIA Shuyi SUN Weiwei WANG Guohong 《Journal of Donghua University(English Edition)》 EI CAS 2018年第3期207-214,共8页
Based on the information theory,the performance of maneuvering target tracking can be improved by increasing the input information( observation vector).In this paper,the estimations of radial acceleration and radial v... Based on the information theory,the performance of maneuvering target tracking can be improved by increasing the input information( observation vector).In this paper,the estimations of radial acceleration and radial velocity obtained in the signal processing are introduced into the measurement vector by coordinate transformation.In order to solve the problem of high nonlinearity of the radial acceleration,radial velocity and the state vector,a new algorithm of multi-parameter sequential extended Kalman filter( MSEKF) is proposed.The tracking performance of this algorithm is tested and compared with the other tracking algorithms.It is shown that the proposed algorithm outperforms these algorithms in strong and weak maneuvering environments. 展开更多
关键词 information theory maneuvering target extended Kalman filter(EKF) radial acceleration radial velocity
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