基于细节分量提取的脉压雷达信号检测技术

Technology of PC Radar Signal Detection Based on Precise Components Extraction

小波分解可以将信号分解为多层近似分量与细节分量,脉压雷达信号的脉内信息可以在细节分量中得到很好的体现,因此小波变换方法对脉压信号有着很大的优势。Mallat快速算法使小波变换走向工程实用成为可能,对ADC输出的数据流做小波分解,得到各层的细节分量,找到波形失真较小并且能够反映脉内特征的细节分量作为新的数据源,对之进行相关处理,完成信号检测。文章最后以实际雷达信号为对象进行了实验,实验结果表明该方法是切实可行的。

Wavelet transform can decompose signals into approximate components and precise components. The fingerprint of PC radar signal can be reflected in its precise components, so wavelet transform has certain advantages to them. Mallat high-speed algorithm makes it possible that wavelet transform steps into engineering application. Wavelets transform acts on the data from AD to get the precise components of each layer. Then precise component that can reflect the fingerprint of the signal and keep its wave low distortion will be selected as the new data source. Autocorrelation acts on the new data source, and then the detection is completed. Lastly, experiments are carried through aiming at real radar signals. The results indicate that the method is feasible.