LOW EARTH ORBIT SATELLITE-BASED PASSIVE RADAR TARGET TRACKING VIA WINDOW SLIDING PROCESSING

  • Xingye Qiu
  • , Chuan Huang
  • , Zhongyu Li
  • , Junjie Wu
  • , Jianyu Yang

Research output: Contribution to journalConference articlepeer-review

Abstract

This article provides a brief introduction to a method for tracking targets using LEO satellites as space-based illuminators within a passive radar system. In recent years, the abundance of LEO satellites has made them suitable as illuminators in the passive radar system. However, LEO satellites have a lower Power Flux Density (PFD), which can introduce significant errors when tracking targets directly. To address this issue, the paper proposes a tracking method based on a sliding window approach. Initially, this method transforms received echoes into the Range-Doppler (RD) domain and utilizes them as target tracking states. By tracking these states, target tracking trajectories are obtained. Through the use of the sliding window technique, multiple tracking trajectories are generated over a specific time interval. Finally, the gradient descent method is employed to fuse these trajectories, resulting in an accurate target motion trajectory. The effectiveness of the proposed method is demonstrated by simulations.

Original languageEnglish
Pages (from-to)298-301
Number of pages4
JournalIET Conference Proceedings
Volume2023
Issue number47
DOIs
StatePublished - 2023
Externally publishedYes
EventIET International Radar Conference 2023, IRC 2023 - Chongqing, China
Duration: 3 Dec 20235 Dec 2023

Keywords

  • LEO SATELLITES
  • PASSIVE RADAR
  • SLIDING WINDOW
  • TARGET TRACKING

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