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<p>This study introduces a novel time-domain diffraction model to analyze Ultra-Wideband (UWB) signal propagation affected by human body obstructions, addressing the critical need for accurate channel modeling in ultra-dense networks (UDNs). Unlike conventional frequency-domain approaches, our innovative time-domain framework leverages single, double, and triple knife-edge diffraction models, uniquely integrating apical diffraction to capture complex signal interactions around the human body. We propose a computationally efficient method to model dynamic attenuation variations based on the body’s relative position, offering superior precision over existing models. Validated through extensive simulations across sub-6&#xa0;GHz, mmWave, and UWB bands, our results show the triple knife-edge model outperforms state-of-the-art methods with up to 15% higher accuracy. These advancements enhance UWB system design for crowded environments like indoor spaces and public transit, ensuring robust connectivity in next-generation wireless networks.</p>

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A Time-Domain Diffraction Model to Analyze UWB Propagation on the Human Body

  • 期刊论文

  • 发表日期：

    2026年8月5日

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  • Vinod Kumar

摘要

This study introduces a novel time-domain diffraction model to analyze Ultra-Wideband (UWB) signal propagation affected by human body obstructions, addressing the critical need for accurate channel modeling in ultra-dense networks (UDNs). Unlike conventional frequency-domain approaches, our innovative time-domain framework leverages single, double, and triple knife-edge diffraction models, uniquely integrating apical diffraction to capture complex signal interactions around the human body. We propose a computationally efficient method to model dynamic attenuation variations based on the body’s relative position, offering superior precision over existing models. Validated through extensive simulations across sub-6 GHz, mmWave, and UWB bands, our results show the triple knife-edge model outperforms state-of-the-art methods with up to 15% higher accuracy. These advancements enhance UWB system design for crowded environments like indoor spaces and public transit, ensuring robust connectivity in next-generation wireless networks.