A Multi-Target Detection and Tracking Technology Based on Labeled PHD Filtering

In modern air combat, group target attacks in a complex electromagnetic environment put forward higher requirements for seeker multi-target resolution. The missile-borne phased array radar technology enables the radar seeker to detect and track multiple targets. The current missile-borne radar seeker usually detects and tracks the most attractive target in a multi-target scenario. Based on the airborne radar multi-target detection technology and the random finite set multi-target detection method, this paper models the multi-target state and the multiple measurements obtained by the radar separately, and distinguishes the state of different targets at the same time by introducing a label probability hypothesis density filter. To achieve the purpose of multi-target detection and tracking. The simulation results show that the radar seeker using the labeled PHD filtering algorithm can simultaneously detect and distinguish multiple targets in real time, and give the track of multiple targets.