Target signal recognition for CW Doppler proximity radio detector based on SVM

摘要

In this paper, we propose the amplitude modulation (AM) bandwidth and the frequency modulation (FM) bandwidth for far-field point target model and near-field multi-point target model, and analyze the statistical differences of their distributions. The result shows that there exists a significance difference between the distribution of AM (resp. FM) bandwidth under the model of ideal far-field point-target and near-field multi-point target. The two bandwidths, namely AM bandwidth and FM bandwidth, have been used as an input to support vector machine (SVM) for classifying far-field deceptive jamming signal and the near-field body target signal. The simulation results show the effectiveness of the proposed method for classification.