Received Signal Strength Characterization in Mixed LOS and NLOS Environments

Chao WANG; Jiajun HE; Wenxin XIONG; Hing Cheung SO; Young Jin CHUN

doi:10.1109/TAES.2024.3379483

Received Signal Strength Characterization in Mixed LOS and NLOS Environments

Chao WANG
, Jiajun HE
, Wenxin XIONG
, Hing Cheung SO
, Young Jin CHUN^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

5 Citations (Scopus)

20 Downloads (CityUHK Scholars)

Abstract

The received signal strength (RSS) measurement is widely adopted in wireless positioning due to its simplicity and accessibility. This paper utilizes the Boolean Line Model (BLM) to characterize the RSS distribution considering both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, where the reflectors are modeled as line segments with random lengths and inclination angles. We begin by calculating the probability of establishing a specular reflection link for a single reflector with a given transmitter-receiver pair. By leveraging this probability, we compute the distribution of RSS for a single NLOS link. By convolving the RSS distributions from the LOS and multiple NLOS paths, the RSS distribution in mixed LOS and NLOS conditions is derived. Theoretical developments are validated by comparing simulations and the experimental data collected from real-world scenarios. © 2022 IEEE.

Original language	English
Pages (from-to)	5613-5620
Number of pages	8
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	60
Issue number	4
Online published	21 Mar 2024
DOIs	https://doi.org/10.1109/TAES.2024.3379483
Publication status	Published - Aug 2024

Funding

This work was supported in part by the Early Career Scheme (ECS) under Project 21205021 and the General Research Fund (GRF) under Project 11211122, both established under the University Grant Committee (UGC) of the Hong Kong Special Administrative Region, China; in part by the City University of Hong Kong (CityU) under Project 7020083, and Project 7006090.

Research Keywords

Aerospace and electronic systems
Analytical models
Boolean line model
channel modeling
Data models
Fading channels
first-order reflection
received signal power
Reflection
Shape
Solid modeling

Publisher's Copyright Statement

This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/

RGC Funding Information

RGC-funded

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10.1109/TAES.2024.3379483

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title = "Received Signal Strength Characterization in Mixed LOS and NLOS Environments",

abstract = "The received signal strength (RSS) measurement is widely adopted in wireless positioning due to its simplicity and accessibility. This paper utilizes the Boolean Line Model (BLM) to characterize the RSS distribution considering both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, where the reflectors are modeled as line segments with random lengths and inclination angles. We begin by calculating the probability of establishing a specular reflection link for a single reflector with a given transmitter-receiver pair. By leveraging this probability, we compute the distribution of RSS for a single NLOS link. By convolving the RSS distributions from the LOS and multiple NLOS paths, the RSS distribution in mixed LOS and NLOS conditions is derived. Theoretical developments are validated by comparing simulations and the experimental data collected from real-world scenarios. {\textcopyright} 2022 IEEE.",

keywords = "Aerospace and electronic systems, Analytical models, Boolean line model, channel modeling, Data models, Fading channels, first-order reflection, received signal power, Reflection, Shape, Solid modeling",

author = "Chao WANG and Jiajun HE and Wenxin XIONG and SO, \{Hing Cheung\} and CHUN, \{Young Jin\}",

year = "2024",

month = aug,

doi = "10.1109/TAES.2024.3379483",

language = "English",

volume = "60",

pages = "5613--5620",

journal = "IEEE Transactions on Aerospace and Electronic Systems",

issn = "0018-9251",

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TY - JOUR

T1 - Received Signal Strength Characterization in Mixed LOS and NLOS Environments

AU - WANG, Chao

AU - HE, Jiajun

AU - XIONG, Wenxin

AU - SO, Hing Cheung

AU - CHUN, Young Jin

PY - 2024/8

Y1 - 2024/8

N2 - The received signal strength (RSS) measurement is widely adopted in wireless positioning due to its simplicity and accessibility. This paper utilizes the Boolean Line Model (BLM) to characterize the RSS distribution considering both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, where the reflectors are modeled as line segments with random lengths and inclination angles. We begin by calculating the probability of establishing a specular reflection link for a single reflector with a given transmitter-receiver pair. By leveraging this probability, we compute the distribution of RSS for a single NLOS link. By convolving the RSS distributions from the LOS and multiple NLOS paths, the RSS distribution in mixed LOS and NLOS conditions is derived. Theoretical developments are validated by comparing simulations and the experimental data collected from real-world scenarios. © 2022 IEEE.

AB - The received signal strength (RSS) measurement is widely adopted in wireless positioning due to its simplicity and accessibility. This paper utilizes the Boolean Line Model (BLM) to characterize the RSS distribution considering both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions, where the reflectors are modeled as line segments with random lengths and inclination angles. We begin by calculating the probability of establishing a specular reflection link for a single reflector with a given transmitter-receiver pair. By leveraging this probability, we compute the distribution of RSS for a single NLOS link. By convolving the RSS distributions from the LOS and multiple NLOS paths, the RSS distribution in mixed LOS and NLOS conditions is derived. Theoretical developments are validated by comparing simulations and the experimental data collected from real-world scenarios. © 2022 IEEE.

KW - Aerospace and electronic systems

KW - Analytical models

KW - Boolean line model

KW - channel modeling

KW - Data models

KW - Fading channels

KW - first-order reflection

KW - received signal power

KW - Reflection

KW - Shape

KW - Solid modeling

UR - https://www.scopus.com/pages/publications/85188950204

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85188950204&origin=recordpage

U2 - 10.1109/TAES.2024.3379483

DO - 10.1109/TAES.2024.3379483

M3 - RGC 21 - Publication in refereed journal

SN - 0018-9251

VL - 60

SP - 5613

EP - 5620

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 4

ER -

Received Signal Strength Characterization in Mixed LOS and NLOS Environments

Abstract

Funding

Research Keywords

Publisher's Copyright Statement

RGC Funding Information

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GRF: Tera-Hybrid: Integration of Intelligent Reflecting Surface and Unmanned Aerial Vehicle on Terahertz enabled Hybrid Network

ECS: A Holistic Investigation of Terahertz-enabled Wireless Networks

Cite this

Received Signal Strength Characterization in Mixed LOS and NLOS Environments

Abstract

Funding

Research Keywords

Publisher's Copyright Statement

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

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Projects

GRF: Tera-Hybrid: Integration of Intelligent Reflecting Surface and Unmanned Aerial Vehicle on Terahertz enabled Hybrid Network

ECS: A Holistic Investigation of Terahertz-enabled Wireless Networks

Cite this