Dual-module data fusion for detect before track based particle filter

A track before detect based on data fusion of infrared and radar is proposed to increase the probability of correct track initiation and shorten initiation time. Particle Filter (PF) is applied to process the acquired data of Infrared and radar are respectively. Sensor receives data and generates the first stage decision. The decisions are subsequently transmitted to the fusion center where they are combined into a final decision on distributed fusion architectures. The proposed method is applied to simulate track before detect of infrared and radar. The simulation results show that the proposed method has advantages of higher precision and probability of detection.