Weak signal extraction and feature recognition to polynomial phase signal in low SAR

Subsection signals phase matching from single antenna, an improved weak signal extraction model has proposed based on the signal phase matching principle in electronic worfare envhronment in this paper, which aimed at that it's extremely difficult to detect and extract the pulse compression radar signal in low SNR at present. Then multilevel central difference scheme eliminating errors, an improved features recognition model has proposed to recognize pulse compression radar signals, combined with the features of polynomial phase signal. The simulation experiment results showed that this extraction and feature recognition model can extract and recognize the pulse compression radar signals effectively in low SNR. This new model does not need training simples and is easy to carry out, so it has broad engineering application prospects.