Modified CLEAN Algorithm Based on Two-Dimensional Matched Filter Outputs

Shanling Zheng*, Chen Ning, Zicheng Kong, Yuanhao Ma, Yizhe Pan

*Corresponding author for this work

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

Abstract

The CLEAN algorithm is usually used to reconstruct images due to its low computational complexity. However, existing CLEAN algorithms cannot completely remove signal components of strong targets due to the low accuracy in estimating the target amplitudes, which results in weak targets being masked by the residual range-Doppler sidelobes generated by strong targets. In this paper, a modified CLEAN algorithm based on two-dimensional matched filter outputs (Modified MF-CLEAN) is proposed. Modified MF-CLEAN can improve the target amplitude estimation accuracy by performing multiple corrections to the amplitude estimation during the iterations. Simulation results show that Modified MF-CLEAN significantly outperforms the existing CLEAN algorithms in terms of the target amplitude estimation performance and success rate.

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

  • CLEAN
  • range-Doppler imaging
  • sidelobe suppression

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