摘要
为适应复杂环境下雷达信号脉内分析的需要,提出一种脉内调制类型识别方法。基于Morlet小波变换提取信号小波脊线,根据瞬时频率和最佳尺度的关系得到时频曲线,基于时频曲线的形状识别脉内调制类型。构造时频分辨率调节函数,优化小波脊线提取过程,提出形状识别算法,达到提高识别准确率、降低计算量的目的。仿真结果表明,信噪比为3 dB时,该算法的识别准确率在98%以上,信噪比为1 dB时,识别准确率能达到70%以上。
A new method of in-pulse modulation recognition is proposed to meet the in-pulse analysis’ needs under the complex electromagnetic environment.The wavelet ridge is extracted by Morlet wavelet transform.The time-frequency curve is gotten according to the relation between instantaneous frequency and optimal scale.The pulse modulation is recognized by analyzing its shape.The new idea includes creating the time-frequency resolution adjustment function,optimizing the wavelet ridge extraction process and proposing the recognition algorithm based on the curve’s shape.It improves the accuracy and reduces the calculation.Simulation result shows that,when Signal-to-Noise Ratio（SNR） is 3 dB,the lowest rate of recognition accuracy can reach 98%,when SNR is 1 dB,it can also reach 70%.
出处
《计算机工程》
CAS
CSCD
2012年第23期166-168,172,共4页
Computer Engineering
基金
国家"863"计划基金资助项目(2011AA7031014D)
