基于聚集离散性与可分性的雷达信号特征评价

摘要

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.%雷达辐射源信号脉内特征的好坏是决定雷达信号能否有效地加以区分的基础.为了定量地进行特征优劣的评价,提出了一种利用模糊度与贴近度来评估雷达信号脉内特征分布聚集离散性的方法.该方法首先对雷达信号脉内特征的空间分布进行分析；然后用模糊度的大小度量脉内特征的类内聚集性,用贴近度的大小度量脉内特征的类外分散性；并针对分类特征空间分布的重叠状态,采用类内类间距离和线性判别准则,提出了雷达辐射源信号脉内特征线性可分性指标.通过时频原子法提取5类雷达信号的两个脉内特征进行仿真实验,结果表明提出的方法和可分性指标是可行的.这为在雷达辐射源信号识别中定量地评价脉内特征提供了新的思路和途径.