A Method of Passive Localization Based on Unscented Kalman Filter
Jirong Ma, Chenlu Duan, Shuaiwei Wang, Shunjun Yang · 2022
This paper considers the target localization problem for cruise missile. Missile position, missile attitude and frame angles are used to calculate the target position. A passive localization algorithm based on unscented Kalman filter by observing the same target point multiple times is provided. We also provide a state initialization method to make the algorithm more suitable to engineering. The performance is demonstrated with simulated data in a six degree of freedom model.