In target tracking, the measurement noise is usually assumed to be Gaussian. However, the Gaussian modeling of the noise may not be true. Noise can be non-Gaussian. The non-Gaussian noise arising in a radar system is known as glint noise. The distribution of glint noise is long tailed and will seriously affect the tracking performance. We develop a new algorithm that can effectively track a maneuvering target in the glint environment The algorithm incorporates the nonlinear Masreliez filter into the interactive multiple model (IMM) method. Simulations demonstrate the superiority of the new algorithm.<>
A nonlinear IMM algorithm for maneuvering target tracking
IEEE Transactions on Aerospace and Electronic Systems ; 30 , 3 ; 875-886
1994-07-01
939514 byte
Article (Journal)
Electronic Resource
English
A Nonlinear IMM Algorithm for Maneuvering Target Tracking
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