雷达辐射源信号脉内特征分析

脉内特征提取是新型雷达辐射源信号识别的关键问题。本文提出一种新的雷达辐射源信号脉内特征提取和识别方法．将雷达辐射源脉冲信号的分形维数作为识别脉内调制方式的分类特征，这些特征包含了雷达辐射源信号幅度、频率和相位等的变化和分布信息，反映了雷达辐射源信号脉内调制规律，理论分析和仿真实验结果都证明了这些特征具有对噪声不敏感的良好特性．通过10种典型雷达辐射源信号的特征提取和分类识别的实验结果表明，本文所提取的脉内特征类间距离大、类内距离小、正确识别率高．证实了本文方法的有效性。

INTRA-PULSE FEATURE ANALYSIS OF RADAR EMITTER SIGNALS

Intra pulse feature extraction is a key issue in advanced radar emitter signal recognition. A novel approach was proposed to extract intra pulse features from radar emitter signals to recognize different radar emitters. Fractal dimensions of radar emitter pulse signals were regarded as the classification features to recognize different intra pulse modulations. With the change and distribution information of magnitudes, frequencies and phases of radar emitter signals, the features reflect the laws of intra pulse modulation of radar emitter signals. It is proved in theory that the fractal features are not sensitive to noise, which is also shown in simulation experimental results. Experimental results of fractal feature extraction and automatic recognition of 10 typical radar emitter signals show that the fractal features have large between classes distance and small within class distance, and they achieve high accurate recognition rate, which verifies the approach is valid.