A processing scheme for long integration time passive radar based on CZT and FRFD-sharpness

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

8 Citations (Scopus)

Abstract

In this paper a problem of extending integration time in passive radar is addressed. To compensate range and Doppler walk, a processing scheme based on chirp-z transform (CZT) and fractional Fourier transform domain (FRFD)-sharpness is proposed: (1) divide the signal into snapshots; (2) perform Fourier transform (FT) and matched filtering on each snapshot; (3) perform CZT across the snapshots; (4) perform inverse FT (IFT) on each snapshot; (5) perform IFT and fractional Fourier transform (FRFT) across the snapshots; (6) obtain the final radar image of moving targets by sharpness metrics. Experiment result by using DTV-based passive radar data has shown that the processing scheme can effectively mitigate range and Doppler walk, and it allows meaningful increases to the integration time.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
Publication statusPublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • CZT
  • FRFT
  • Passive radar
  • Range and Doppler walk
  • Sharpness optimization

Fingerprint

Dive into the research topics of 'A processing scheme for long integration time passive radar based on CZT and FRFD-sharpness'. Together they form a unique fingerprint.

Cite this