基于示向图分割投影的短波跳频信号检测算法

A Frequency-Hopping Detection Algorithm Based on The Direction Image of Partitioned and Projected

针对短波信道中跳频信号检测的问题,提出一种利用K-Means聚类对示向图进行分割,并通过图像处理方法来实现对跳频信号检测的算法。采用测向速度快的相关干涉仪测向方法完成宽带信号的示向图生成,然后基于K-Means聚类对示向图进行分割,经过形态学滤波进行预处理后,利用灰度图像处理中的边界投影算法对跳频信号检测。此算法在能检测出跳频信号的同时能粗估计跳频信号的基本参数。仿真结果及性能分析表明,该算法能有效地克服信号带宽内复杂的电磁环境,能有效检测出跳频信号,计算复杂度较低,易于工程实现。

In response to the problem of Frequency-Hopping detection in the HF channel, the paper proposed an algo- rithm based on the split directed graph which is clustered by K-Means through the image processing method to achieve fre- quency hopping signal detection. Using the method of correlation interferometer direction completed the broadband signal to generate a directed graph. Then based on the segmentation directed graph by K-Means algorithm, after morphological filte- ring, preprocessing, and then using the boundary projection algorithm, detect the Frequency-Hopping signals. This algo- rithm can detect frequency hopping signals, while the course estimated the basic parameters of the frequency hopping sig- nal. Simulation results and performance analysis shows that the algorithm can effectively overcome the complex electromag- netic environment in the signal bandwidth can effectively detect frequency hopping signal, lower computational complexity, easy to project implementation algorithm.