Study on emitter signal recognition based on rough sets and grey association theory

Recognition degree of unknown radar emitter signal can be describe by upper and lower approximation sets of Rough Sets. From the uncertain degree measure by multi-sensors, pessimistic and non-pessimistic distances of every object to sensors and grey association matrix can be calculated by grey association theory. According α,β and grey association matrix, grey association degree and fusion result can gain. The simulation results show the method of combining Rough Sets and Grey Association theory is effective, and it can be applied on radar emitter signal recognition, especially in decreasing the uncertain degree introduced by multi-sensors.