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

机译:基于粗糙集和灰色关联理论的辐射源信号识别研究

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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.
机译:未知雷达发射器信号的识别度可以通过粗糙集的上下近似集来描述。从多传感器的不确定程度测度中,可以通过灰色关联理论计算出每个物体到传感器的悲观距离和非悲观距离,并建立灰色关联矩阵。根据α,β和灰色关联矩阵,可以获得灰色关联度和融合结果。仿真结果表明,将粗糙集与灰色关联理论相结合的方法是有效的,可应用于雷达辐射源信号识别,特别是在减少多传感器引入的不确定性方面。

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