基于模板匹配的雷达辐射源信号识别研究

从统计学理论出发,对基于模板匹配的雷达辐射源信号识别进行研究,通过设定容差测试了4种不同的距离计算方法的识别效果,得出了在雷达特征参数测量精度较高的情况下,使用City Block距离和Euclidean距离进行距离计算识别效果较好,当测量精度不高时,需要增大容差范围且使用M距离进行距离计算时识别效果较好。建立的数据库和雷达辐射源识别模型可用于电子战的模拟训练。

Research into Radar Emitter Recognition Based on Template Matching

This paper focuses on the statistical theory,studies radar emitter signal recognition based on template matching, tests the recognition effect of four different distance calculation methods through setting tolerance, and concludes that calculating distance by using City Block distance and Euclidean distance has better recognition effect under the condition of higher radar characteristic parameter measurement accuracy. When the measurement accuracy is not high,it is need to increase the tolerance scope and use M distance for calculating the range,then a better effect is gained. The database and radar emitter recognition model established in this paper can be used for simulation training of electronic warfare.