Radar Target Radar Cross-Section Measurement Based on Enhanced Imaging and Scattering Center Extraction.

Xin Tan, Chaoqi Wang, Yang Fang, Bai Wu, Dongyan Zhao, Jiansheng Hu

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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1 citing paper in PubMed.

An Innovative Semiparametric Density Model for the Statistical Characterization of Ground-Vehicle Radar Cross Sections.Sensors (Basel, Switzerland) · 2026
Article

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5 · Who and what money

Authors and funding

6 authors.

Xin TanSchool of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710016, China.

Chaoqi WangSchool of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710016, China.

Yang FangState Key Laboratory for Strength and Vibration of Mechanical Structures, Shaanxi Engineering Research Centre of NDT and Structural Integrity Evaluation, School of Aerospace Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0009-0002-7004-4968

Bai WuSchool of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710016, China.

Dongyan ZhaoSchool of Electronic Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710016, China.

Jiansheng HuSchool of Information Engineering, Engineering University of PAP, Xi'an 710047, China.

Funding

Key R&D Project in Shaanxi Province 2023-YBGY-411National Natural Science Foundation of China 52107009

6 · The paper itself

Abstract

Accurate measurement of a Radar Cross-Section (RCS) is a critical technical challenge in assessing the stealth performance and scattering characteristics of radar targets. Traditional RCS measurement methods are limited by high costs, sensitivity to environmental conditions, and difficulties in distinguishing local scattering features of targets. To address these challenges, this paper proposes a novel RCS measurement method based on enhanced imaging and scattering center extraction. This method integrates sub-aperture imaging with image fusion techniques to improve imaging quality and enhance the detail of target scattering characteristics. Additionally, an improved sequence CLEAN algorithm is employed to effectively suppress sidelobe effects and ensure the accuracy of scattering center extraction. Experimental results demonstrate that this method achieves higher precision in RCS measurement of complex targets and is particularly effective in environments with strong interference, where it successfully separates the scattering contributions of the target from those of the interference sources. This method offers a new technological approach for precise RCS measurement of radar stealth targets in the future.

Indexed as

enhanced imagingRCSscattering center extraction

Identifiers

PMID39409356

DOI10.3390/s24196315

PMCPMC11478754

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