Detection and SISAR Imaging of Aircrafts Using GNSS Forward Scatter Radar: Signal Modeling and Experimental Validation

Cheng Hu, Changjiang Liu, Rui Wang*, Liang Chen, Li Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

The use of satellite signals for passive radar detection has become quite attractive in the recent years. This paper focuses on the detection and the shadow inverse forward scatter radar (SISAR) imaging of aircrafts in the passive forward scatter radar (FSR) system using global navigation satellite system (GNSS) satellites as illuminators of opportunity. The signal model derived from GNSS tracking loop is given and its Doppler character is analyzed. Then, by comparing GNSS FSR and ground-based FSR, the SISAR signal model and the imaging method for GNSS FSR are constructed. Experiments using airliners as targets were carried out, in which forward scattering signals of both GPS satellites and BeiDou satellites were captured. The experimental results verified the correctness of the given model as well as the effectiveness of the novel imaging method.

Original languageEnglish
Article number7879822
Pages (from-to)2077-2093
Number of pages17
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume53
Issue number4
DOIs
Publication statusPublished - Aug 2017

Keywords

  • Aircraft detection
  • forward scatter radar (FSR)
  • global navigation satellite system (GNSS)
  • passive radar imaging
  • shadow inverse synthetic aperture radar (SISAR)

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