关键词: 脉内特征, 模糊度, 贴近度, 类内距离, 类间距离, 特征评价

Abstract: Quality of intrapulse feature about radar signals has proved to be a significant foundation to decide whether the signals can be differentiated effectively. For evaluating the quality quantitatively, a method adopting fuzziness and close-degree to evaluate intrapulse feature aggregation and discreteness of signals was proposed in this paper. Space distribution of intrapluse feature about radar signals was analyzed with this method, while intrapulse feature aggregation was evaluated by fuzziness and intrapulse feature discreteness was evaluated by close-degree. And for the overlapping states of feature space distribution, a linear separable measure of intrapluse feature about radar signals was put forward by within-class distance, between-class distance and linear discriminated criterion. The simulation results, based on the experiments of two intrapulse features extracted via time-frequency atom approach about five kinds of radar signal, show that the method and measure proposed in the paper are effective and feasible. It provides a new idea and approach for quantitatively evaluating features of the radar emitter signal.

Key words: intrapulse feature, ambiguity, closeness, within-class distance, between-class distance, feature evaluation