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Identification of NLOS Based on Soft Decision Method

Xie, Jingli and wang, wei and Liu, Xinyi and Rashdan, Ibrahim and Di, Chenqi and Qi, Jiajie (2023) Identification of NLOS Based on Soft Decision Method. IEEE Wireless Communications Letters. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LWC.2023.3240846. ISSN 2162-2337.

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The radio channel modeling and location system are the focus of many research fields. However, their performance is largely limited by line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. Currently, the most popular LOS/NLOS identification algorithm is based on the channel impulse response (CIR) feature. The decision threshold is applied to identify between LOS and NLOS conditions on this basis. However, the features around the threshold are usually very similar, which leads to low LOS/NLOS accuracy. In this letter, the feature extracted from the CIR is used to fit its distribution with the Gaussian mixture function. Then, a soft decision algorithm is used to classify the signal. In the experimental simulations, the algorithm is tested according to the measured data. The results reveal that by choosing different feature combinations, the algorithm effectively improves the accuracy of LOS and NLOS identification.

Item URL in elib:https://elib.dlr.de/196080/
Document Type:Article
Title:Identification of NLOS Based on Soft Decision Method
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Xie, JingliChang’an University, Xi’anUNSPECIFIEDUNSPECIFIED
wang, weiChang’an University, Xi’anUNSPECIFIEDUNSPECIFIED
Liu, XinyiChang’an University, Xi’anUNSPECIFIEDUNSPECIFIED
Rashdan, IbrahimUNSPECIFIEDhttps://orcid.org/0000-0001-9208-8078UNSPECIFIED
Di, ChenqiChang’an University, Xi’anUNSPECIFIEDUNSPECIFIED
Qi, JiajieChang’an University, Xi’anUNSPECIFIEDUNSPECIFIED
Date:30 January 2023
Journal or Publication Title:IEEE Wireless Communications Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:channel modeling , NLoS, soft decision algorithm
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Rashdan, Ibrahim
Deposited On:28 Jul 2023 14:35
Last Modified:18 Oct 2023 13:24

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