Radar Signal Sorting Technology Based on Image Processing and Hough Transform
Radar Signal Sorting Technology Based on Image Processing and Hough Transform
复制标题
基于图像处理和霍夫变换的雷达信号分选技术
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Chenzhi Yang
中科院分区：
文献类型：
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作者：
Fang Li;Zixian Yang;Chenzhi Yang
提出了一种基于图像处理和霍夫变换的雷达信号分选方法。这个方法有三个步骤：1.使用这个方法。将雷达信号映射成图像，分析不同雷达信号的图像特征模型；2. 对信号进行预处理，减少复杂电磁环境的干扰，采用霍夫变换等图像处理方法对雷达信号进行分类；3. 利用最小二乘法（LSM）提取雷达参数，完成复杂电磁环境下的雷达信号分选。仿真结果表明，采用该方法对雷达信号进行分选，达到了较高的分选精度，同时与传统方法相比，系统的抗噪性能也得到了提高。因此，该方法适用于各种干扰和脉冲损耗的复杂电磁环境下的雷达分选。
In this paper, a radar signal sorting method based on image processing and Hough transform is proposed. There are three steps of this method: 1. Map the radar signal to an image, then analyze the image feature model of different radar signals; 2. Preprocess the signals to reduce the interferences from the complex electromagnetic environment and classify the radar signals by Hough transform and other image processing methods; 3. Extract the radar parameters by the Least Squares Methods (LSM) to complete the radar signal sorting in the complex electromagnetic environment. Simulations are carried out and the results show that with the proposed method, high accuracy of sorting radar signals is achieved, meanwhile compared to the traditional methods, anti-noise performance of the system is also improved. Therefore, this method is suitable for radar sorting in complex electromagnetic environment with various types of interferences and pulse loss.