Earth-Based Radar Height Dimension Imaging for Astronomical Object

Kaiwen Zhu, Peiyao Liu*, Ziyi Zhou, Zhen Wang, Zehua Dong, Zegang Ding

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Observation for astronomical object, including the moon, asteroids, and terrestrial planets, is of significance in deep space observation. Earth-based radar is an important approach for astronomical object observation. Earth-based radar has the ability of two-dimensional (2-D) imaging for astronomical objects. However, earth-based radar height dimension imaging for astronomocal object has not been reported yet. In this manuscript, the analysis of earth-based radar height dimension imaging for astronomical object is discussed. The relative motion between earth-based radar and astronomical object is analyzed, and the sparse height sampling of radar is discussed. Thereafter the problem of sidelobe and grating lobe in height dimension imaging is discussed, and a data domain-image domain joint windowing method is proposed for sidelobe and grating lobe suppression. Computer simulation experiment and real data equivalent experiment with electromagnetic anechoic chamber are conducted to validate the analysis and the proposed method.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • astronomical object
  • earth-based radar
  • height dimension imaging

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