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A Virtual Aperture Extension Method for Shipborne HFSWR Based on RD-Domain Spatiotemporal Data Block Extrapolation

  • Youmin Qu
  • , Xingpeng Mao*
  • , Zhibo Tang
  • , Yiming Wang
  • *Corresponding author for this work
  • School of Electronics and Information Engineering, Harbin Institute of Technology
  • Ministry of Industry and Information Technology
  • Ministry of Natural Resources of the People's Republic of China

Research output: Contribution to journalArticlepeer-review

Abstract

To enhance the maneuverability and extend the detection range of high-frequency surface wave radar (HFSWR), shipborne systems have been developed as an alternative to shore-based platforms. However, the limited space on shipborne platforms results in a small radar array aperture, which consequently diminishes the radar’s direction-of-arrival (DOA) estimation performance. Additionally, the target echoes received by HFSWR are often accompanied by a large amount of strong clutter. Traditional extrapolation-based aperture extension methods fail because they cannot effectively distinguish between targets and clutter. Therefore, how to extend the aperture of shipborne HFSWR remains a problem to be addressed. To overcome these challenges, we improved conventional extrapolation-based aperture extension techniques by incorporating the signal processing workflow of HFSWR and proposed a novel aperture extension method for uniform linear arrays, based on range-Doppler domain spatiotemporal data block extrapolation (RDSDBE). Specifically, on the one hand, we extend the array aperture in the range-Doppler (RD) domain to address the failure of traditional aperture extension methods in the presence of strong clutter. On the other hand, we segment the target echoes in the time domain to tackle the issue of large aperture extension errors caused by the limited number of snapshots in shipborne scenarios. Through simulation and experimental data, we validated the proposed RDSDBE method and analyzed its performance.

Original languageEnglish
Pages (from-to)818-831
Number of pages14
JournalIEEE Transactions on Radar Systems
Volume3
DOIs
StatePublished - 2025
Externally publishedYes

Keywords

  • Direction-of-arrival (DOA) estimation
  • linear prediction
  • range-Doppler (RD) processing
  • shipborne high-frequency surface wave radar (HFSWR)
  • virtual aperture extension

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