Analysis of Radar Emitter Signal Feature Based on Multifractal Theory
Ye Fei, YU Zhi-fu, Luo Jing-qing · 2007
Fractal theory has applied to radar signal analysis, in which fractal dimensions such as Hausdorff dimension, box dimension, information dimension, similarity dimension, correlation dimension and so on always are used to depict the complexity of radar emitter signal. But single fractal dimension is not enough to describe a complicated fractal object, so multifractal is introduced to analyze radar emitter signal. Multifractal is the expansion of fractal dimension, which uses multifractal dimensions to describe growth features of fractal object in different levels and compensate the lack of single fractal dimension. Because radar emitter signal is a time series, the method to study time series multifractal can be adopted and the multifractal feature can be regarded as the basis of radar signal classification and recognition. Through simulating several typical radar signals and computing their multifractal dimensions, the simulation results validate that analysis of radar emitter signal multifractal feature has certain instructional meaning.