Abstract: To improve the target tracking accuracy and anti-jamming performance of the active radar/infrared composite guidance system in complex environments and take full advantage of its observation data， this paper proposes an information fusion scheme based on state-angle joint estimation. Under long distance conditions， the volume Kalman filter algorithm， chi-square distribution theory and information fusion algorithm are used to complete aircraft-target relative state estimation， sensor disturbance state judgment， and target consistency correlation and fusion. Under the condition of close range， angle filtering correction and angle fusion estimation are completed based on the Kalman filter algorithm. The simulation results show that the scheme and algorithm proposed can effectively eliminate false information， and can reliably obtain stable and high-precision guidance information when sensor information is missing. The results can provide a basis for confrontation decision-making in complex environments and precise strikes against targets.

Key words: target tracking, anti-jamming, volume Kalman filter, state estimation, consistency