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Satellite-based PCL for moving target detection using keystone transform and FrFT

  • Zhongyu Li
  • , Fabrizio Santi
  • , Debora Pastina
  • , Pierfrancesco Lombardo
  • University of Electronic Science and Technology of China
  • University of Rome La Sapienza

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper presents a moving target detection technique for passive radar with satellite transmitter of opportunity and stationary receiver. The proposed technique relies on a proper processing of the data aiming at, first, correcting the range cell migration over the received echo, and then, transiting in a proper domain where the moving target can be isolated from the disturbance contribution. The former goal is obtained by applying the keystone transform. Then, the range compressed-slow-time data are transformed to Doppler centroid (DC)-Doppler frequency rate (DFR) domain via fractional Fourier transform (FrFT), where the coherent integration gain can provide enough SNR for the target detection. Ultimately, it is suggested that a proper processing of a long stream of data can increase the SNR making possible also the detection of low RCS targets. Numerical simulations show the effectiveness of this target detection technique to be employed for example in maritime surveillance frameworks.

Original languageEnglish
Title of host publication2016 CIE International Conference on Radar, RADAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509048281
DOIs
StatePublished - 4 Oct 2017
Externally publishedYes
Event2016 CIE International Conference on Radar, RADAR 2016 - Guangzhou, China
Duration: 10 Oct 2016 → 13 Oct 2016

Publication series

Name2016 CIE International Conference on Radar, RADAR 2016

Conference

Conference2016 CIE International Conference on Radar, RADAR 2016
Country/TerritoryChina
CityGuangzhou
Period10/10/16 → 13/10/16

Keywords

  • Fractional Fourier Transform (FrFT)
  • Keystone transform
  • Moving target detection
  • Passive bistatic radar
  • Passive coherent location (PCL)

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