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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Abstract

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

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Xie, Jingli	Chang’an University, Xi’an	UNSPECIFIED	UNSPECIFIED
wang, wei	Chang’an University, Xi’an	UNSPECIFIED	UNSPECIFIED
Liu, Xinyi	Chang’an University, Xi’an	UNSPECIFIED	UNSPECIFIED
Rashdan, Ibrahim	UNSPECIFIED	https://orcid.org/0000-0001-9208-8078	UNSPECIFIED
Di, Chenqi	Chang’an University, Xi’an	UNSPECIFIED	UNSPECIFIED
Qi, Jiajie	Chang’an University, Xi’an	UNSPECIFIED	UNSPECIFIED

Date:

30 January 2023

Journal or Publication Title:

IEEE Wireless Communications Letters

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

DOI:

10.1109/LWC.2023.3240846

Publisher:

IEEE - Institute of Electrical and Electronics Engineers

ISSN:

2162-2337

Status:

Published

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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