Abstract: For the multifunctional demand of target tracking and pointing, the paper designs a tracking and pointing controller by combining the ideas of least standard deviation estimation and tracking control. The design realizes the fusion of target position forecasting and servo control, and optimizes the system structure. The improved Kalman filter based on current statistical model forecasts the parameters of target state. The solution control based on adaptive sliding mode resolves the problem of servo system position control. The simulation results show that this controller works stably with strong anti-jamming ability and high tracking and pointing precision.