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Real-time programming method for flight path of unmanned vehicle based on dynamic RCS

Yan Qing Xiong Junjiang You Siming(School of Aeronautic Science and Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)  
Simplified radar detection models are applied in conventional flight path programming of unmanned vehicle,in which only the distance between unmanned vehicle and radar has been taken into account,but the dynamic variation of radar cross-section(RCS) with attitude angle of unmanned vehicle has not been considered.New dynamic RCS model was presented to characterize the RCS distribution nature of unmanned vehicle,radar's detection probability model was developed to involve dynamic RCS and the distance between radar and unmanned vehicle.From genetic algorithm(GA) and dynamic RCS,real-time programming for flight path of unmanned vehicle was conducted and compared with conventional models.From verification examples,it is demonstrated that the models presented are feasible and valid to avoid the detection of radar.
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