Abstract:

An improved Gaussian Hermitian particle filter (IGHPF) is proposed in order to solve maneuvering target tracking problem of nonlinear nonGaussian under glint noise. Compared with traditional Gaussian Hermitian particle filter (GHPF), when producing particle set, IGHPF directly uses Gaussian Hermitian Filter (GHF) to estimate the current particles and the obtained estimation value and covariance are as the particle set and covariance of particle filer algorithms. Simulation results show that IGHPF can effectively track maneuvering target under glint noise, improving tracking precision.

Key words: Gaussian Hermitian Filter(GHF)； particle filter(PF)； glint noise； target tracking