An Intelligent Recognition Method for Jamming Target Based on UKF Track Filtering

Abstract

Aiming at the anti-jamming technology in radar seeker terminal guidance phase, with the typical range-velocity pull-off(RVPO) jamming model, an intelligent method for target and jamming intelligent recognition technology based on UKF filtering is studied. Firstly, RVPO model is established, by introducing missile-target relative distance, radial velocity, high-low angle and azimuth angle, the tracking system model is established. Secondly, the filtering framework for target tracking and recognition based on UKF is given, and target recognition index system is established based on radial velocity, radial, acceleration, angular acceleration and overload. Finally, a simulation experiment is performed based on a typical target motion (zooming) model. In this experiment, a target that launched four RVPO jamming attacks is identified. The simulation results show that the UKF filtering information could help achieve effective target recognition under RVPO jamming attacks. In addition, the simulation results also validate the feasibility and effectiveness of the recognition method developed in this study.