Operating Modes Recognition of Phased Array Fire Control Radar Based on Multi-feature

Aiming at the operating modes recognition of airborne phased array fire control radar, a multi-feature fusion-based method for operating modes recognition of phased array fire control radar is proposed. On the basis of long-term extraction of massive radar reconnaissance data and analysis of intelligence data, the typical operating modes of airborne phased array fire control radar and its detection waveform characteristics are analyzed from the perspective of electronic reconnaissance. Besides, four available characteristic dimensions of mode recognition are designed in accordance with engineering implementation. Based on DS evidence theory, the method for mode recognition is proposed and verified by algorithm simulation. The simulation results show that the method can achieve the purpose of recognizing different operating modes of airborne phased array fire control radar, and thus can meet the relevant application requirements in the field of electronic countermeasures.