In photoelectric tracking system

image acquisition device lags behind the control system sensor

which causes an error in miss distance

which will result in a lower tracking precision of the control system.In order to improve the tracking precision

an adaptive Kalman filtering algorithm for compensating tracking miss distance data is proposed.Firstly

the state prediction matrix and the prediction error variance matrix of current time are calculated by the CSM model.According to the strong tracking filter idea

calculate the adjustment factor throughresidual sequence.Then

the adjustment factor is used to correct the prediction error variance matrix and the maneuver frequency.Finally

the output information of prediction is updated by using the corrected parameters.The results of simulation and experiment show that under the high maneuvering condition

using the adaptive Kalman filtering algorithm

the root mean square error RMS of the tracking error is about 0.21 times that of the traditional algorithm

andthe maximum tracking error and root mean square error are significantly reduced.