A Novel Attribute Recognition Algorithm for Radar Emitter Based on Knowledge Reduction

Emitter recognition problem plays an important role in electronical countermeasure intelligence processing. Practically, emitter information detected by multisensor system takes on uncertainty, illegibility and contradiction. Rough set theory is a relatively new soft computing tool to deal with vagueness and uncertainty, and is regarded as a field of leading edge. In order to solve emitter recognition problem, rough set theory is introduced. A new emitter recognition algorithm is presented in this paper. And decision-making method is discussed. At last, application example is given, which demonstrates this new method is accurate and effective. Moreover, computer simulation of recognizing the emitter class is selected, and compared with classical statistical recognition algorithm through simulation. Experiments results demonstrate the excellent performance of this new recognition method.