基于小波脊线特征提取的雷达辐射源信号识别

摘要

In order to solve the problem of low rate in radar emitter signal recognition under low SNR, a new approach based on the feature of wavelet ridge for recognition of intra-pulse modulation was proposed.The proposed modified Morlet wavelet atom was used to extract the instantaneous frequency.Then the instantaneous frequency was transformed to extract the characteristic vector for classification.The results of computer simulation showed that the characteristic vector of this method had good recognition ability, and the average recognition rate could reach 90% or more than 90% when the SNR was as low as 2 dB.The superiority of the proposed algorithm under low SNR was proved by simulation results compared with the existing approach.%针对在低信噪比条件下雷达辐射源信号识别率低的问题,提出了一种基于小波脊线特征提取的雷达辐射源信号脉内调制方式识别方法.该方法使用新的改进Morlet小波提取信号瞬时频率,变换后提取其二次特征用于分类识别.计算机仿真结果表明本方法提取的特征向量具有良好的识别能力,在2 dB的低信噪比条件下,平均识别率可达到90%以上,通过与现有方法进行对比仿真验证了本算法在低信噪比环境下的优越性.