摘要
针对现有方法分选准确率不高和对噪声敏感的问题,提出一种新的雷达辐射源信号分选算法。对接收到的未知雷达辐射源信号,首先提取其第六维小波包特征(Wpt6)和第一维相像系数(Cr1),将两者作为分类依据,并利用Kohonen神经网络实现对未知雷达辐射源的分选。计算机仿真结果表明,新方法较传统的分选方法可以获得更高的准确率。
Sorting rate of common method is not high and it is sensitive to the signal noise ratio （SNR）, in order to solve these problems, a novel sorting algorithm for radar emitter is proposed. The Wpt6 and Cr1 is extracted firstly and used as the sorting basis when the unknown radar emitter signal is received, then the radar emitter sorting is realized by the Kohonen neural network. Simulation result shows that this new method can get higher correct rate than traditional method.
出处
《微计算机信息》
2010年第13期170-171,156,共3页
Control & Automation
基金
武器装备预研基金项目(项目名称
编号不公开)
