Abstract: An IMM-SIS(Interacting Multiple Model-Sequential Importance Sampling) algorithm is presented for tracking a maneuvering target by a proper combination of two approaches: IMM and SIS, and it is used in the single passive tracking system. The advantage of the presented algorithm over the IMM-GSPF(Gaussian Sum Particle filter) is that it does not need the resampling step and avoids the particle degeneracy and impoverishment phenomenon. The performance of the IMM-SIS algorithm is verified by simulating a highly maneuvering target tracking. Results show that the tracking speed and accuracy of the IMM-SIS algorithm are better than those of the IMM-GSPF, the tracking robustness and accuracy of the SIS and GSPF algorithms are better than those of the classical EKF.

Key words: particle filter, passive tracking, single observer, maneuvering target, IMM-SIS