Generalization Theory for Through-the-Wall Radar Human Activity Recognition
Through-the-wall radar (TWR) human activity recognition (HAR) is important for non-line-of-sight indoor sensing, security monitoring, and emergency rescue. However, structured distribution shifts caused by person variation, observation-view variation, and wall-condition variation severely degrade recognition generalization, while the origin of the target-domain error still lacks a rigorous theoretical explanation. To address this issue, a generalization-analysis framework for TWR HAR is proposed in this paper. First, models for indoor human kinematics, TWR echo generation, radar image formation, feature representation, and bounded-weight neural networks are established within a unified so...
| Authors | Weicheng Gao |
|---|---|
| Primary category | cs.IT |
| Published | 9 July 2026 |
| Last updated at source | 9 July 2026 |
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