Velocity and Attitude Matching of transfer alignment by using H∞ filter

Abstract

The H ∞ filter is adopted in the transfer alignment (TA) which is realized by the Velocity and Attitude Matching, when the disturbances in measurements are complete unknown. The performance of H ∞ filter is compared with kalman filter. The simulation results show both that H ∞ filter and kalman filter all are effective and kalman filter is more accurate than H ∞ filter when system noise and measurement noise are white noise. But H ∞ filter is more accurate than kalman filter when system noise and measurement noise are color noise. H ∞ filter is an effective estimation method because H ∞ filter is more suitable to engineering practice than kalman filter. © (2012) Trans Tech Publications, Switzerland.