Journal of Projectiles, Rockets, Missiles and Guidance >
A Simaplied SAGE-HUSA Kalman Filetering Algorithm
Received date: 2009-10-28
Online published: 2025-05-30
Self-adaptive Kalman filtering algorithm was adopted in the online estimate of navigation state of unmanned aerial vehicle (UAV) because the simplified model is often used. At the moment, the algorithms usually applied in this territory are not perfect. Take the advantage of residue characteristics and choose the estimation windows, a simplified SAGE-HUSA Kalman filtering algorithm was given. The result of simulation shows this method agrees with the demand of engineering application of UAV.
TIAN Hai , ZHU Xinyan . A Simaplied SAGE-HUSA Kalman Filetering Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2011 , 31(1) : 75 -77,84 . DOI: 10.15892/j.cnki.djzdxb.2011.01.005
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