基于修正的Rife和SVM的辐射源特征提取和识别

Emitter feature extraction and recognition based on the modified Rife and SVM

对于混有相位噪声的单个正弦信号,修正的Rife算法具有较高的测频精度。提出了基于修正的Rife和支持向量机(SVM)算法的辐射源个体识别方法。分析了频率振荡器的频谱特征,阐述了修正的Rife算法基本原理和SVM的分类思想。通过修正的Rife算法得到较精确的载频和频率偏移2个参量,并作为SVM的2个特征向量,然后利用分类器识别出不同的辐射源个体。最后对实测数据进行特征提取和辐射源的识别研究。通过计算机仿真验证了本文算法的有效性。

For a single sine signal with mixed phase noise, the modified Rife algorithm has higher frequency meas-urement accuracy. This paper proposed a recognition method for emitter individuals based on the modified Rife and support vector machine （ SVM ） . First the characteristics of the frequency spectrum of a frequency oscillator were analyzed, then the basic principle of the modified Rife algorithm and the classification thoughts for SVM was ex-pounded. Two precise parameters of carrier frequency and frequency offset which are also the two vectors for SVM were got through the modified Rife algorithm. Classifiers were used to identify different sources of emitter individu-als. Finally, emitter feature extraction and recognition research were done for the actually measured data. The com-puter simulation results proved effectiveness of the algorithm presented in this paper.