Staggered Frame-Structure Indoor Human Motion Indicator Incorporating RCS Response

This letter introduces an indoor human motion indication method that incorporates radar cross-section (RCS) response within a staggered frame structure. Its two-stage (intra- and inter-frame) processing achieves robust clutter suppression and enhanced indication of both uniform and non-stationary human motion. Intra-frame processing utilizes a two-pulse delay line canceller (DLC) and coherent integration (CI) to preliminary suppress clutter and enhance target RCS features. In the subsequent inter-frame stage, similarity metrics quantify RCS fluctuations in the range domain, which are then used to compute an adaptive waveform similarity filter for robust target indication. This approach directly addresses the shortcomings of conventional methods when dealing with non-stationary human motion. Experimental validation in typical indoor settings confirms significant improvements in clutter suppression and enhanced motion indication.

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Publication Details

Journal
IEEE Antennas and Wireless Propagation Letters
Published
2025-08-26
DOI
https://doi.org/10.1109/lawp.2025.3602759
Primary Topic
Structural Health Monitoring Techniques
Type
article
Field-Weighted Citation Impact
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article

Staggered Frame-Structure Indoor Human Motion Indicator Incorporating RCS Response

Xiuzhu Ye, Naike Du, Fang Xiao, Hui Zhang et al.
IEEE Antennas and Wireless Propagation Letters
Structural Health Monitoring Techniques
article

Staggered Frame-Structure Indoor Human Motion Indicator Incorporating RCS Response

Xiuzhu Ye, Naike Du, Fang Xiao, Hui Zhang, Yuchao Guo
article en

Abstract

This letter introduces an indoor human motion indication method that incorporates radar cross-section (RCS) response within a staggered frame structure. Its two-stage (intra- and inter-frame) processing achieves robust clutter suppression and enhanced indication of both uniform and non-stationary human motion. Intra-frame processing utilizes a two-pulse delay line canceller (DLC) and coherent integration (CI) to preliminary suppress clutter and enhance target RCS features. In the subsequent inter-frame stage, similarity metrics quantify RCS fluctuations in the range domain, which are then used to compute an adaptive waveform similarity filter for robust target indication. This approach directly addresses the shortcomings of conventional methods when dealing with non-stationary human motion. Experimental validation in typical indoor settings confirms significant improvements in clutter suppression and enhanced motion indication.

IEEE Antennas and Wireless Propagation LettersVol. 24(10)
Beijing Institute of Technology (CN), Beihang University (CN)
Climate action
Openalex Percentile: Top 77%
Structural Health Monitoring Techniques
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