Efficient multipath clutter cancellation for uav monitoring using dab satellite-based pbr

Yingjie Miao, Jingchun Li, Yao Bao, Feifeng Liu, Cheng Hu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The increasing accessibility of unmanned aerial vehicles (UAVs) drives the demand for reliable, easy-to-deploy surveillance systems to consolidate public security. This paper employs passive bistatic radar (PBR) based on a digital audio broadcast (DAB) satellite for UAV monitoring in applications with power density limitations on electromagnetic radiation. An advanced version of the extensive cancellation algorithm (ECA) based on data segmentation and coefficients filtering is designed to improve the efficiency of multipath clutter suppression while retaining robustness, for which the effectiveness is verified by theoretical derivation and simulation. The detectability of small UAVs with DAB satellite-based PBR is validated with experimental results, with which the influence of target altitude and bistatic geometry are also analyzed.

Original languageEnglish
Article number3429
JournalRemote Sensing
Volume13
Issue number17
DOIs
Publication statusPublished - 1 Sept 2021

Keywords

  • Drone monitoring
  • Extensive cancellation algorithm (ECA)
  • Passive bistatic radar

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