Title :
A study on the estimation method of noise covariance for underwater navigation systems
Author :
Jo, GyungNam ; Seo, Dong C. ; Ura, T. ; Choi, Hang S.
Author_Institution :
Seoul Nat. Univ., Seoul
fDate :
Sept. 29 2007-Oct. 4 2007
Abstract :
In this paper an adaptive receding horizon Kalman filter is newly derived for underwater navigation systems, which are subject to statistically unknown noises contained in both system and measurement equations. The adaptive receding horizon Kalman filter gets feedback on the method. The filter is applied to a navigation system based on a LBL (long baseline) system. Experiment and simulation show that the derived filter estimates covariance of the system and measurement properly.
Keywords :
adaptive Kalman filters; navigation; oceanographic techniques; Adaptive Receding Horizon Kalman Filter; adaptive scheme; long baseline system; noise covariance estimation method; underwater navigation systems; Filters; Marine technology; Navigation; Noise measurement; Oceans; Phase estimation; Sea measurements; Steady-state; Time varying systems; Underwater acoustics;
Conference_Titel :
OCEANS 2007
Conference_Location :
Vancouver, BC
Print_ISBN :
978-0933957-35-0
Electronic_ISBN :
978-0933957-35-0
DOI :
10.1109/OCEANS.2007.4449317
