Abstract: Due to the increasingly complex electro-optical countermeasure environment in modern warfare, the advantages of multi-mode guidance are becoming more prominent, and it is difficult for a single mode of precision-guided weapons to break through. This paper takes the millimeter-wave radar and infrared dualmode seeker as the research basis, and realizes the path fusion through the Extended Kalman Filter (EKF), and eliminates the interference targets through the correlation coefficient, thereby enhancing the anti-interference ability of the seeker. By fusing the tracking information of the same target from the two detectors, the guidance accuracy is improved. By collecting detection data to establish the trajectories of uniform linear motion targets, uniform acceleration motion targets, and random motion targets, a fusion model is established for simulation analysis. The simulation results show that the Kalman filter can be used to identify interference targets. The probability of the radar single mode capturing the real target is 79.42%, the probability of the infrared single mode capturing the real target is 73.125%, and the probability of capturing the real target after dual-mode fusion increases to 93.874%. Moreover, the target path after fusion is closer to the real path of the target motion, improving the accuracy of target capture and conducting fusion tracking through trajectory fusion.