Real-time programming method for flight path of unmanned vehicle based on dynamic RCS
Qing You Yan, Xiong Junjiang, Siming You · Beijing Hangkong Hangtian Daxue xuebao · 2011
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.