摘要
针对频率捷变雷达信号分选准确率不高的问题,提出了一种新的频率捷变雷达信号分选算法。将频谱主峰图归一化中心矩和时频域能量分布归一化值构成相参特征向量,用SVM分类器实现自动分选。仿真结果表明,该方法在较低信噪比下仍能获得较为满意的分选准确率,当信噪比为5 d B时,信号分选准确率达到96.33%,验证了所提出方法的有效性。
As the correct sorting rate of the frequency agility radar signals is not high, a novel sorting algorithm for the frequency agility radar signal is proposed. The spectrum-main image normalized central moment and energy distribution normalized values in time-frequency domain are constructed as coherent feature vector. And the support vector machine （SVM） machine is applied to automatic sorting. Simula- tion results show that the proposed approach can achieve satisfactory accurate sorting in low signal noise ratio （SNR）. Even for SNR = 5 dB, the overall correct sorting rate of the frequency agility radar signal is 96.33%. The validity of the approach is demonstrated by experimental results.
出处
《现代防御技术》
北大核心
2015年第5期178-183,191,共7页
Modern Defence Technology
关键词
多域参数
频率捷变雷达信号
支持向量机(SVM)
信号分选
multi-domain parameters
frequency agility radar signal
support vector machine（SVM）
signal sorting
