NLOS Identification for Wideband mmWave Systems at 28 GHz
NLOS Identification for Wideband mmWave Systems at 28 GHz
复制标题
28 GHz 宽带毫米波系统的 NLOS 识别
DOI：
--
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Jian
中科院分区：
文献类型：
--
作者：
A. Huang;Lei Tian;Tao Jiang;Jian
识别视距（LOS）和非视距（NLOS）信道条件是许多工作中的一个大问题。在本文中，我们的目标是实现毫米波（mmWave）系统的信道分类。给出了在典型的购物中心场景中在28 GHz下进行的毫米波测量结果。具体地，我们分析了从信道冲激响应（CIR）提取的单值特征的识别性能，并且证实上升时间是用于识别的有吸引力的特征，特别是对于宽带毫米波信号的精确识别。在此基础上，采用梯度提升决策树（GBDT）分类算法进行LOS/NLOS识别。实验结果表明，该方法的总体检测准确率为97.9%，比单一特征分类器具有更好的分类性能.此外，广泛的实验评估，考虑不同的传播距离和障碍物的多样性，验证了该方法的可行性。
Identifying Line-of-Sight (LOS) and Non-LOS (NLOS) channel conditions is a big concern in many works. In this paper, we aim to achieve channel classification for millimeter wave (mmWave) systems. The results of mmWave measurement conducted at 28 GHz in typical shopping mall scenario are presented. Specifically, we analyzed the identification performance of single- valued feature extracted from channel impulse response (CIR), and confirmed that rise-time is an attractive features for identification, particularly precise for wideband mmWave signal. Furthermore, a classification algorithm Gradient Boosting Decision Tree (GBDT) is used for LOS/NLOS identification. Experimental results demonstrate an overall detection accuracy of 97.9\%, which shows that our method has a better classification performance than the single feature classifier. Moreover, extensive experimental evaluation considering various propagation distances and obstruction diversity have validated the feasibility of this method.