Time-domain processing for exact background clutter extraction and reduction in RCS measurement

  • Xiaojian Xu*
  • , Yongze Liu
  • , Liya Liang
  • , Saisai Yuan
  • *Corresponding author for this work

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

Abstract

In radar cross section (RCS) measurement of modern low observable radar targets, the relatively strong background clutter degrades the uncertainty of the calibrated RCS data. In this work, a time-domain processing technique is proposed for zero-Doppler clutter (ZDC) extraction and reduction, which is attributed to stationary background scattering from the test field. Raw wideband RCS data are first transformed using fast Fourier transform (FFT) to obtain the high resolution range profiles (HRRP). Time domain ZDC estimates are then obtained and refined using maximum probability (MP) statistics to remove the residual target components which exist for conventional ZDC processing. Results of outdoor test range signature data processing demonstrate that ZDC can be greatly suppressed while the target signatures are well preserved using the proposed technique.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Signal Processing Systems, ICSPS 2017
PublisherAssociation for Computing Machinery
Pages129-133
Number of pages5
ISBN (Electronic)9781450353847
DOIs
StatePublished - 27 Nov 2017
Event9th International Conference on Signal Processing Systems, ICSPS 2017 - Auckland, New Zealand
Duration: 27 Nov 201730 Nov 2017

Publication series

NameACM International Conference Proceeding Series

Conference

Conference9th International Conference on Signal Processing Systems, ICSPS 2017
Country/TerritoryNew Zealand
CityAuckland
Period27/11/1730/11/17

Keywords

  • Background reduction
  • Radar cross section (RCS)
  • Radar imaging
  • Time domain
  • Zero-Doppler clutter (ZDC)

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