摘要
该文提出一种在室内无线定位中识别毫米波视距传输(LoS)的方法,在室内毫米波无线通信的波束训练框架下,实现了信道角功率谱(PAS)中视距角度簇的识别。该方法通过分水岭算法,将角功率谱聚类成簇,进而采用最大似然比和人工神经网络分析角度簇内5个不同信道指标,即空间对称性、冲激响应和传递函数的信号峰度、平均过度延迟和均方根(RMS)延迟扩展。仿真结果中可观察到视距和非视距(NLOS)角功率谱簇之间差异明显,并以实验验证了该识别方法的有效性。
An identification method of Line-of-Sight(LOS)propagation for indoor localization at millimeter band is proposed in this paper.Based on beam training process,the proposed method identifies the LOS clusters in power angular spectrum.After clustering the Power Angular Spectrum(PAS),the statistical characteristics of five different channel metrics intra-clusters,namely the spatial-domain symmetry,kurtosis of impulse response and transfer function,mean excess delay,and Root Mean Square(RMS)delay spread,are analyzed using maximum likelihood ratio and artificial neural network.A noticeable difference between LOS and Non-Line-of-Sight(NLOS)clusters is observed,and validated with measurement.
作者
吕鹏飞
SARRAZIN Julien
黄默
LÜPengfei;SARRAZIN Julien;HUANG Mo(Institute of Microelectronics,Chinese Academy of Sciences,Beijing 100029,China;University of Chinese Academy of Sciences,Beijing 100049,China;Sorbonne UniversitéParis,75252,France)
出处
《电子与信息学报》
EI
CSCD
北大核心
2023年第7期2467-2475,共9页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61501454)。
关键词
室内定位
视距传输识别
毫米波
信道角度域聚类
分水岭分割
Indoor localization
Line-of-Sight(LOS)identification
Millimeter wave
Channel angular clustering
Watershed segmentation
