Target classification by surveillance radar based on multifractal features
基于多重分形特征的防空雷达目标分类方法

On basis of introducing the mathematical model of aircraft returns in the conventional radar, by means of the multifractal measure analysis, this paper analyzed the multifractal characteristic of the aircraft returns as well as the extraction method of their multifractal signatures, and proposed the classification method for three types of aircraft containing jets, propeller aircrafts and helicopters from the angle of pattern recognition. The experimental analysis shows, the conventional radar returns from three types of aircraft targets, containing jets, propeller aircrafts and helicopters, have significantly different multifractal characteristic curves, and the defined multifractal characteristic parameters can be used as effective features for aircraft target classification and recognition. The simulation validated the validity of the proposed method.