It is known that colored noise may degrade the performance of a tracking algorithm. A common remedy is to model colored noise as an autoregressive (AR) process and apply the measurement difference method. One problem with the approach is that the AR parameters are usually unknown. In this work, we propose a new method to adaptively estimate the AR parameters. It is shown that this method is simple and practically feasible. We incorporate oar method into the interacting multiple model (IMM) tracking algorithm and show that the performance is almost as good as that in the known parameters case.
Maneuvering target tracking with colored noise
IEEE Transactions on Aerospace and Electronic Systems ; 32 , 4 ; 1311-1320
1996-10-01
1048382 byte
Article (Journal)
Electronic Resource
English
Maneuvering Target Tracking with Colored Noise
Online Contents | 1996
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