Abstract: To solve the problem of electronic reconnaissance satellites(ERS) guiding scheduling with area prior information, a time step alterable and predicative electronic reconnaissance satellites guiding scheduling mechanism was put forward, in which the realtime satellites reconnoitering information is used to guide the following detecting actions in the limited and alterable future time step. With the continuously data downloading, the rolling impellent guiding scheduling windows are driven to form. An updating method based on Bayesian rule for forecasting the area state was presented, and the universal multiobjective scheduling model in the rolling alterable time step scheduling windows was brought forward. According to the characteristics of the model, an improved multiobjective ant colony algorithm(IMOACA) was designed to compute the pareto optimal solutions. The comparative experiments prove that the proposed mechanism, model and algorithm can effectively deal with the ERS guiding scheduling problem and the performance is good.

Key words:  electronic reconnaissance satellites(ERS), alterable time step, predicative scheduling, guiding scheduling, ant colony algorithm