@inproceedings{c76021d09a2740fa8aac803aedc93a41,
title = "Target signal recognition for CW doppler proximity radio detector based on SVM",
abstract = "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.",
keywords = "AM bandwidth, FM bandwidth, Proximity radio detector, Support vector machine (SVM)",
author = "Zhiqiang Li and Xinhong Hao and Huiling Chen and Ping Li",
note = "Publisher Copyright: {\textcopyright} 2013 IEEE.; 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 ; Conference date: 20-12-2013 Through 22-12-2013",
year = "2013",
doi = "10.1109/MEC.2013.6885240",
language = "English",
series = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1160--1163",
booktitle = "Proceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013",
address = "United States",
}