基于特征提取融合判决的卫星干扰识别算法

Satellite Jamming Recognition Algorithm Based on Feature Extraction and Fusion Decision

本文提出了一种基于特征参数提取的卫星干扰信号识别方法。针对射频噪声干扰、噪声调幅干扰、噪声调频干扰、连续波干扰、梳状谱干扰、脉冲干扰,建立了干扰模型,仿真其干扰效果。采用特征参数提取的方法,从时域和频域分别对干扰类型加以判断。最后使用D-S证据理论融合方法将时域和频域判决结果融合,仿真实验结果表明:在基于D-S证据理论融合后,各类干扰信号成功识别的概率得到了有效提升。

In this paper,a satellite interference signal identification method based on feature parameter extraction is proposed.Aiming at the RF noise interference,noise amplitude modulation interference,noise frequency modulation interference,continuous wave interference,comb spectrum interference and pulse interference,the jamming model is established,and the jamming effect is simulated.The interference types are judged from time domain and frequency domain by the method of extracting characteristic parameters.Finally,D-S evidence theory fusion method was used to fuse the time-domain and frequency-domain decision results.The simulation experiment results showed that the probability of successful identification of various interference signals was effectively improved after the D-S evidence theory fusion.