摘要
为了在低信噪比条件下获得较好的识别准确率,提出了一种基于积分二次相位函数(IQPF)的识别分类方法。根据不同信号的调频斜率的正负值完成信号的预分类,然后再利用不同信号的IQPF峰值-能量比以及功率谱估计实现信号的自动化分类。给出了识别流程图并进行了仿真实验,结果表明,该方法在信噪比大于-3dB时,其识别正确率达到90%以上,证明了方法的有效性和可行性。相关研究为雷达脉内调制类型的识别提供了一种切实可行的方法,具有一定的应用价值。
A recognition method based on integral quadratic phase function（IQPF） is presented in order to improve the correct recognition rate under low signal-to-noise ratio（ SNR） . The preliminary classification is completed according to the different signal frequency modulation slope . To implement the automatic identifi-cation,the IQPF peak-power ratio and power spectrum estimation are used. Recognition flow chart and the simulation experiment are given . The results indicate that the correct recognition rate can reach 90% or more when SNR is greater than -3 dB,so the method is feasible and effective. Research in this paper provides a feasible method for radar intra-pulse modulation types recognition,which has a certain application value.
出处
《电讯技术》
北大核心
2014年第9期1254-1259,共6页
Telecommunication Engineering
关键词
电子对抗
雷达脉内调制
识别分类
峰值-能量比
electronic countermeasure
radar intra-pulse modulation
identification and classification
peak-power ratio
