关键词: 信号分选, 时频分析, 特征提取, 支持向量机

Abstract: According to the high complexity of extracting feature of radar signal using image processing method, a new method for extracting feature was proposed. Firstly, the time-frequency distribution was gained based on the adaptive Gaussian kernel time frequency analysis, then through analyzing the physical meaning of each element, one dimension vector could be found through a simple arithmetic instead of the complicated method through processing the time-frequency figure with image processing means, so the real-time requirement for sorting radar signal could be satisfied. The simulation results verify the efficiency of the proposed algorithm. Additionally, the accuracy can be kept at a high level while the Signal-to-Noise Ratio (SNR) is low.

Key words: signal sorting, time-frequency analysis, feature extraction, Support Vector Machine (SVM)