Aiming at ballistic missile target tracking problem in anti-missile sensor networks

a ballistic missile target collaboration tracking method based on information gain is proposed. Problem of multi-sensor collaboration tracking on ballistic target is analyzed

and piecewise-constant acceleration model for ballistic coast flight is established; tracking covariance information is applied to obtain information gain of each sensor on target when tracking the coast flight ballistic target

and select the sensor to track ballistic target based on maximum information gain. Simulation results show that the proposed method can select the optimal sensor timely and dynamically to track ballistic target

which improves integral overall tracking property of ballistic target and realizes collaboration tracking on ballistic target.