为了有效应对跟踪雷达的三种常见欺骗干扰,提出了一种基于平滑伪魏格纳-维尔分布时频图像的Zernike 矩特征的干扰识别方法。该方法对三种干扰下的雷达接收信号进行时频分析,运用数字图像处理技术对时频图像进行一系列的预处理后,通过Zernike 矩特征提取图像的细节特征组成特征向量进行分类识别。仿真实验证明:该方法有较高的识别率,特别是该方法受信噪比影响较小,能够有效降低噪声对干扰识别的影响,说明了采用图像识别方法对雷达欺骗干扰信号进行分类识别的可行性。通过与其他文献方法的比较,证明了该方法的优越性。

In order to effectively deal with the major three types of deception jamming of tracking radar, a recognition algorithm is proposed based on Zernike moment feature of time-frequency distribution. In this method, smoothing pesudo-wigner-ville distribution of received radar signal under jamming is given firstly ,and after a series of image processing methods, Zernike moments are calculated as the feature which constitute feature vector for signal recognition. The experimental results show that the proposed approach can achieve satisfying recognition. Particularly the method which is less affected by signal-to-noise ratio can reduce the influence of noise, showing the possibility for radar jaming signal recognition. Compared with other methods, the method proposed in this paper has shown its superiority.

TN974