DistUAV-Tomo3D-1.0: Distributed UAV Radar Multiple TransmitReceive Single-Pass Tomographic SAR 3D Imaging Dataset

Yan Wang, Changhao Liu, Haoze Wang, Linghao Li, Zegang Ding, Tao Zeng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Airborne tomographic synthetic aperture radar (TomoSAR) 3D imaging represents a cutting-edge development in synthetic aperture radar technology. Traditionally, TomoSAR 3D imaging data are acquired through multiple passes or array systems, which are limited by challenges such as prolonged data acquisition times and low elevation resolution. In comparison, distributed UAV SAR radar leverages coherent collaboration among multi-station UAV radar signals to establish equivalent nodes in the elevation, achieving elevation resolution while substantially improving the efficiency of TomoSAR data acquisition. Nevertheless, the industry currently lacks systems and datasets for researching the technology of signal synchronization and TomoSAR imaging for distributed UAV radar. Therefore, Beijing Institute of Technology has developed a four-unit distributed UAV SAR system and conducted a distributed UAV radar 3D imaging data acquisition experiment at Beijing Jinhai Lake Airport. Towards advancing the research in distributed UAV radar Tomo‐ SAR imaging technology, this paper introduces the Distributed UAV Radar Multiple Transmit-Receive Single-Pass Tomo‐ SAR 3D Imaging Dataset (DistUAV-Tomo3D-1.0), which provides valuable data support for academic research and technical validation of distributed radar signal synchronization methods and distributed radar imaging technology.

Original languageEnglish
Pages (from-to)1436-1442
Number of pages7
JournalJournal of Signal Processing
Volume41
Issue number8
DOIs
Publication statusPublished - 2025

Keywords

  • distributed radar
  • radar dataset
  • SAR 3D imaging
  • signal synchronization
  • tomographic SAR

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