摘要
针对现有方法识别准确率不高和对噪声敏感的问题,应用双谱二维特征复杂度实现了低信噪比下未知复杂体制雷达信号的高准确率识别。对接收到的信号首先提取双谱幅度谱并简化为二维特征,然后求取该二维特征的复杂度特征中的盒维数和信息维数,并将两者作为识别的特征参数,最后基于支持向量机完成识别。由于不同信号的双谱区别大且对高斯噪声不敏感,因此提取的盒维数和信息维数可分性强、稳定度高,仿真验证了方法的优越性,在信噪比为5dB时,识别准确率最低为86%。
For the low recognizing rate and sensitive to the signal-to-noise ratio（SNR）, the bispectrum two dimensional characteristics complexity is proposed to recognize unknown complicated radar signal rightly. The bispectrum of received signal is extracted and predigested to be the two-dimensional characteristics. Then the box dimension and information dimension are extracted from the two dimensional characteristics and used as the recognition characteristics. The last recognition is accomplished by SVM. The bispectrums of different signals are different and not sensitive to SNR, so the box dimension and information dimension are divisible and steady. The advantage of this novel method is validated by simulation results, and the lowest recognition rate is 86 % at SNR = 5 dB.
出处
《雷达科学与技术》
北大核心
2016年第1期76-80,共5页
Radar Science and Technology
关键词
信号识别
双谱
二维特征
信噪比
signal recognition
bispectrum
two-dimensional characteristic
signal-to-noise ratio（SNR）
