Strong-Tracking Multiple Model Estimator
Yan Liang · Dianzi xuebao · 2002
Firstly we analyse the properties of Strong Tracking Filter (STF) and Interacting Multiple Model Algorithm and find that STF is a parameter adaptive algorithm and IMM is a model adaptive algorithm.It means that they may be combined effectively.Secondly we propose a new method based on the Least Squared Estimation to search for the fading factor in STF.After that,we design a Strong Tracking Multiple Model Estimator (STMME) by combining the new STF with IMM.Finally,the simulations show that STMME greatly improves accuracy of velocity and acceleration compared with the conditional IMM when tracking the maneuvering target.And the computation burden increases only 6%.