基于多舰协同侦察与信息融合的雷达识别

The Research on Radar Recognition Based on Multiple Warships Cooperative Reconnaissance and Information Fusion

对雷达型号的识别一直是电子侦察情报系统的重要内容。为了提高单一平台侦察设备对雷达型号识别的可信度和准确率,这里采用协同侦察的思想,共享其他平台侦察的雷达辐射源信号。然后应用灰色关联方法对来自同一部雷达的辐射源信号进行相关处理,并对相关的雷达辐射源信号特征进行加权信息融合,以提高信号特征参数的精度;最后再对融合后的信号特征按最大相关准则,从雷达辐射源知识库中找出要协同识别的雷达型号。

Radar type recognition is an important issue in ELINT. In order to improve the accuracy of radar type recognition basing on single-platform, we used cooperative reconnaissance. Firstly, correlated radar signal from multi-platform cooperative reconnaissance with grey correlation, then fused the correlative signal with feature weighting. Finally, compared to the radar type of radar recognition database according to the maximum correlation criterion, and then elicited the right radar type that waiting for recognizes.