MMW ISAC Imaging for Non-Cooperation Moving Targets Sensing Based on ISAR Minimum Entropy Technology

Integrated Sensing and Communication (ISAC) is expected to be one of the key technologies for next-generation communication systems, with extensive application prospects in fields such as low-altitude economy, security surveillance, and smart cities. As a significant application of ISAC, Inverse Synthetic Aperture Radar (ISAR) technology offers notable advantages in detecting and imaging moving objects. However, current ISAR techniques, which primarily rely on processing along dimensions such as time-Doppler, face challenges such as limited detection accuracy and insufficient extensibility. Inspired by ISAR imaging principles, based on the ISAC echo signal model, a far-field wavenumber domain ISAR imaging method based on minimum image entropy is proposed, which realizes multiframe imaging of non-cooperative moving targets. Moreover, an ISAC system is implemented based on the 5 G communication millimeter-wave platform, and experimental results are presented to validate the performance and feasibility of the proposed system.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/icc52391.2025.11161084
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
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article

MMW ISAC Imaging for Non-Cooperation Moving Targets Sensing Based on ISAR Minimum Entropy Technology

Kaikai Liu, Haibo Peng, Qiankun Zhang, Zengshan Tian et al.
Spectroscopy Techniques in Biomedical and Chemical Research
article

MMW ISAC Imaging for Non-Cooperation Moving Targets Sensing Based on ISAR Minimum Entropy Technology

Kaikai Liu, Haibo Peng, Qiankun Zhang, Zengshan Tian, Shuliang Gui, Yizhe Wang
article en

Abstract

Integrated Sensing and Communication (ISAC) is expected to be one of the key technologies for next-generation communication systems, with extensive application prospects in fields such as low-altitude economy, security surveillance, and smart cities. As a significant application of ISAC, Inverse Synthetic Aperture Radar (ISAR) technology offers notable advantages in detecting and imaging moving objects. However, current ISAR techniques, which primarily rely on processing along dimensions such as time-Doppler, face challenges such as limited detection accuracy and insufficient extensibility. Inspired by ISAR imaging principles, based on the ISAC echo signal model, a far-field wavenumber domain ISAR imaging method based on minimum image entropy is proposed, which realizes multiframe imaging of non-cooperative moving targets. Moreover, an ISAC system is implemented based on the 5 G communication millimeter-wave platform, and experimental results are presented to validate the performance and feasibility of the proposed system.

Chongqing University of Posts and Telecommunications (CN), Zhengzhou Institute of Machinery (CN)
Openalex Percentile: Top 81%
Spectroscopy Techniques in Biomedical and Chemical Research
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