摘要
雷达辐射源识别是雷达对抗侦察信号处理的关键环节。由于现代雷达体制日益复杂,传统的辐射源识别方法面临着越来越严峻的问题。因此针对这种情况,提出了一种基于脉冲样本图雷达辐射源识别算法。这种算法无需对相互叠加的雷达辐射源信号进行完全分选,并且不需要进行传统识别方法中的特征提取过程,简化了处理环节。在脉冲流密度适中的情况下,该算法具有很好的判别准确率。仿真结果验证了该方法的可行性和实用性。
Radar emitter recognition is the critical segment of radar EW reconnaissance signal processing. For the system of radar becoming more and more complex nowadays, traditional radar emitter recognition are facing more and more flinty problems. An algorithm of radar emitter recognition based on pulse sample figure is proposed in this paper. In this algorithm, complete sorting and feature extraction in traditional emitter recognition are unnecessary, so the processing step is simplified. Very high correct recognition rate can be got with this algorithm when the density of data pulse sequence is moderate. Simulation results show that the algorithm is available and practical.
出处
《雷达科学与技术》
2009年第4期284-288,共5页
Radar Science and Technology
关键词
雷达对抗
雷达辐射源识别
脉冲样本图
模板匹配
radar countermeasure
radar emitter recognition
pulse sample figure
template matching
