西安电子科技大学学报（自然科学版）2018，Vol.45Issue(3)：130-135,6.DOI:10.3969/j.issn.1001-2400.2018.03.023
估计偏差修正扩展卡尔曼滤波新算法
Novel extended Kalman filter with linear-correction
摘要
Abstract
This paper considers the divergence problem of the extended Kalman filter(EKF) in performing estimation of the state of a nonlinear system.A linear-correction EKF algorithm that involves closed-form weighted least squares(WLS) optimization only is developed using the time difference of arrival(TDOA) and frequency difference of arrival(FDOA) measurements The proposed method first estimates and subtracts the initial state estimation error in the result of EKF using the WLS approach,then recycles the filtering process again to overcome the error caused by the part linearization operation for the measurement matrix in EKF.Simulation results demonstrate the good performance of the proposed method.关键词
目标跟踪/扩展卡尔曼滤波/到达时差/到达频差/偏差修正Key words
target tracking/extended Kalman filter/time difference of arrival/frequency difference of arrival/linear-correction分类
信息技术与安全科学引用本文复制引用
邓兵,孙正波,贺青..估计偏差修正扩展卡尔曼滤波新算法[J].西安电子科技大学学报（自然科学版）,2018,45(3):130-135,6.基金项目
国家自然科学基金资助项目(61172140,61304264) （61172140,61304264）
