Distributed Earth-Based Radar Astronomical Imaging Technology

Zegang Ding, Guangwei Zhang, Zehua Dong*, Tianyi Zhang, Yi Wei, Yin Xiang, Gen Li, Linghao Li, Tao Zeng

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Earth-based radar is a pivotal instrument in deep space exploration to obtain radar images of desired celestial bodies. However, the system performance and image resolution of conventional integrated earth-based radars with only one radar are limited by the power-aperture product and cannot meet the higher demands of deep space exploration. Distributed coherent radar is a new radar system composed of multiple radar units and a central control system, and its system performance can be further improved by increasing the number of radar units. Distributed coherent radar provides a reliable way to build a high-performance and high-resolution earth-based deep space exploration system. This paper introduces several key technologies about distributed coherent radar astronomical imaging: 1) high-precision coherence parameter estimation, which ensures full coherence performance of the distributed coherent radar; 2) high-precision non-ideal effect compensation, which eliminates the image offset and defocusing induced by the non-ideal effects; 3) fast factorization back projection (FFBP) algorithm, which achieves high-resolution fast imaging of celestial bodies. Moreover, based on a distributed coherent radar prototype system composed of four radar units with antenna aperture of 16m, high-resolution imaging experiments of the moon are conducted, and the effectiveness of the distributed coherent radar is successfully validated, which could not only provide a reference for the distributed coherent radar system but also provide a reliable solution for detection and imaging of other celestial bodies in the solar system in the future.

Original languageEnglish
JournalIEEE Transactions on Geoscience and Remote Sensing
DOIs
Publication statusAccepted/In press - 2024

Keywords

  • coherence parameter estimation
  • distributed coherent radar
  • fast factorization back projection algorithm
  • non-ideal effect compensation

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