The helicopter target detection based on micro-Doppler analysis and implementation

Yan An Xie, Ran Tao, Hong Xia Miao, Jin Ming Ma

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

Abstract

Aiming at the environment in the city, a classify identify method for helicopter targets based on micro-Doppler analysis is proposed. Specifically, we firstly detect the linear frequency modulation component of echo signals by using multi-order fractional Fourier transform and classify targets, and then, we identify the suspicious target by using fractional Fourier transform, Wigner distribution along with tomographic imaging principle. By making use of the characteristics of discrete fractional Fourier transform, the operator is implemented and its discrete parallel computing structure is given. Finally, simulations verify its feasibility.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages5143-5148
Number of pages6
ISBN (Electronic)9789881563910
DOIs
Publication statusPublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • fractional Fourier transform
  • micro-Doppler
  • time-frequency distribution

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