Target Identification Technique Based on Track Filtering
Ruping Zou, Jianshu Liu · 2018 IEEE CSAA Guidance, Navigation and Control Conference (CGNCC) · 2018
This study investigated an improve anti-jamming techniques based on Unscented Kalman Filter (UKF) for radar seekers during the terminal guidance stage, a target identification technique for the typical range-velocity joint drawing-out (RVJDO) deception jamming model is presented. First, an RVJDO jamming model was built. On this basis, by introducing the relative missile-target range, radial velocity, elevation angle and azimuth, a system tracking model was subsequently built. Second, a UKF framework for target tracking and identification as well as UKF-based target identification metrics was provided. Finally, a simulation experiment was performed based on a typical target motion (circling) model. In this experiment, a target that launched four RVJDO jamming attacks was identified. The simulation results showed that the UKF information could help achieve effective target identification under RVJDO jamming attacks. In addition, the simulation results also validated the feasibility and effectiveness of the identification method developed in this study.