Bi- and multistatic SAR missions require the coordinated action of several airplanes and/or satellites equippedwith emitters, antennas and different kinds of sensors for positioning and navigation. This makes mission planninga substantially more difficult problem than in the monostatic situation. Aiming at a high information gainsimulation tools are needed to support the development of mission control strategies. Simulation based optimizationis a powerful tool to support this process and to partially automate tedious trial and error strategies. However,the definition of optimization goals, design variables and technical constraints is not trivial and requirescareful considerations. The present paper discusses the application of simulation based optimization to SAR missionplanning and illustrates these concepts with the example of optimal antenna steering.
展开▼
