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

Zhiqiang Li, Xinhong Hao*, Huiling Chen, Ping Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1160-1163
Number of pages4
ISBN (Electronic)9781479925650
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013 - Shenyang, China
Duration: 20 Dec 201322 Dec 2013

Publication series

NameProceedings - 2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013

Conference

Conference2013 International Conference on Mechatronic Sciences, Electric Engineering and Computer, MEC 2013
Country/TerritoryChina
CityShenyang
Period20/12/1322/12/13

Keywords

  • AM bandwidth
  • FM bandwidth
  • Proximity radio detector
  • Support vector machine (SVM)

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