LoS Sensing-Based Channel Estimation in UAV-Assisted OFDM Systems

作者：Chaojin Qing, Zhiying Liu, Wenquan Hu, Yinjie Zhang, Xi Cai, Pengfei Du · 发表于：IEEE Wireless Communications Letters · 年份：2024 · DOI：10.1109/lwc.2024.3368652 · 被引用次数：30 · 研究领域：Advanced Wireless Communication Techniques、PAPR reduction in OFDM、Power Line Communications and Noise

In unmanned aerial vehicle (UAV)-assisted orthogonal frequency division multiplexing (OFDM) systems, the potential advantage of the line-of-sight (LoS) path, characterized by its high probability of existence, has not been fully harnessed, thereby impeding the improvement of channel estimation (CE) accuracy. Inspired by the ideas of integrated sensing and communication (ISAC), this letter develops a LoS sensing method aimed at detecting the presence of LoS path. Leveraging the prior information obtained from LoS path detection, the detection thresholds for resolvable paths are proposed for LoS and Non-LoS (NLoS) scenarios, respectively. By employing these specifically designed detection thresholds, denoising processing is applied to classical least square (LS) CE, thereby improving the CE accuracy. Simulation results validate the effectiveness of the proposed method in enhancing CE accuracy and demonstrate its robustness against parameter variations.