IMM-UKF based airborne radar and ESM data fusion for target tracking

Abstract

A fusion filtering model based on the Interacting Multiple Model (IMM) is proposed in this paper, to solve the fusion tracking problem of two kinds of heterogeneous sensors, airborne radar and electronic support measures (ESM). Firstly, the motion model of the maneuvering target and the observation model of these two sensors are established. Under the premise that the radar and ESM spatial coordinate system have been unified, the time registration and measurement fusion of the observation data are performed, and the fusion observation data is used as the input of the filter. The simulations compare the effect of two filtering models based on IMM on the tracking results, which are EKF and UKF. The simulation results show that the radar and ESM fusion tracking model on the basis of IMM-UKF algorithm has better tracking effect and achieve tracking of strong maneuvering target.