A Lightweight UWB NLOS Detection Algorithm Using Referenced CIR Similarity Metrics

被引：0
|
作者：
He, Xu [1 ]
Yang, Runkun [1 ]
Mo, Lingfei [1 ]
Meng, Xiaolin [1 ]
Yang, Fanxing [1 ]
Zhang, Youdong [1 ]
Wang, Qing [1 ]
机构：
[1] Southeast Univ, Sch Instrument & Engn, Nanjing 210096, Peoples R China
来源：
IEEE WIRELESS COMMUNICATIONS LETTERS | 2024年 / 13卷 / 10期
关键词：
Vectors; Measurement; Radio frequency; Feature extraction; Data models; Probability distribution; Entropy; UWB; NLOS; CIR; similarity metric; RCS;
D O I：
10.1109/LWC.2024.3446632
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A lightweight and effective algorithm is benefit for real-world applications and edge devices. This letter presents a lightweight algorithm for Non-Line-of-Sight (NLOS) detection in Ultra-Wideband (UWB) systems, using the referenced Channel Impulse Response (CIR) similarity metrics. It retains essential UWB channel characteristics while incorporating a Radar Cross-Section (RCS)-inspired feature engineering method to capture the effective NLOS representation. It bears novel features to significantly reduce the input data dimensions, model parameters, and Floating-point operations (Flops) by 64.9%, 78.5%, 76.0%, respectively, with comparable performance to the latest State-Of-The-Art (SOTA) solutions. We demonstrate its effectiveness through actual measurements and comparative experiments in mixed complex Line-Of-Sight (LOS)/NLOS dataset, offering a computationally efficient solution for UWB NLOS detection with effective representation.
引用
收藏
页码：2797 / 2801
页数：5
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