Two-Stage Strong Tracking Filter with Its Application in Transfer Alignment
This paper deals with the transfer alignment problem of strapdown inertial navigation systems, using the velocity information and angular rate information of the ship. Major error sources for velocity-plus-angular rate matching is unmodeled ship body. exure dynamics. To reduce this alignment error, a two-stage strong tracking filter (TSTF) is designed. This TSTF is derived by merging the optimal twostage Kalman filter with strong tracking. lter. The ship body flexure is modeled as time-varying noise and its stochastic properties are estimated by TSTF. The simulation results show that the proposed method is effective to estimate the misalignment angles of the slave inertial navigation systems.
transfer alignment two-stage strong tracking filter fading factor ship flexure
Lin Jie Fu Mengyin Deng Zhihong Xiao Xuan
School ofAutomation, Beijing Institute of Technology, Beijing 100081, China School of Automation, Beijing Institute of Technology, Beijing 100081, China
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
795-799
2011-05-23（万方平台首次上网日期，不代表论文的发表时间）