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

Author(s)

Related Research Unit(s)

Department of Electrical Engineering

Detail(s)

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

Link(s)

DOI	DOI https://doi.org/10.1109/TAES.2024.3379483 Final Published version
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Attachment(s)	Documents 221440858.pdf Final Published version, 1.92 MB, PDF 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/
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85188950204&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(a094b562-2fc2-4f04-8eff-585e66b617b4).html

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.

Research Area(s)

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

Citation Format(s)

[ RIS ] [ BibTeX ]

Received Signal Strength Characterization in Mixed LOS and NLOS Environments. / WANG, Chao ; HE, Jiajun; XIONG, Wenxin et al.
In: IEEE Transactions on Aerospace and Electronic Systems, Vol. 60, No. 4, 08.2024, p. 5613-5620.

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

WANG, C , HE, J, XIONG, W, SO, HC & CHUN, YJ 2024, 'Received Signal Strength Characterization in Mixed LOS and NLOS Environments', IEEE Transactions on Aerospace and Electronic Systems, vol. 60, no. 4, pp. 5613-5620. https://doi.org/10.1109/TAES.2024.3379483

WANG, C., HE, J., XIONG, W., SO, H. C., & CHUN, Y. J. (2024). Received Signal Strength Characterization in Mixed LOS and NLOS Environments. IEEE Transactions on Aerospace and Electronic Systems, 60(4), 5613-5620. https://doi.org/10.1109/TAES.2024.3379483

WANG C , HE J, XIONG W, SO HC , CHUN YJ. Received Signal Strength Characterization in Mixed LOS and NLOS Environments. IEEE Transactions on Aerospace and Electronic Systems. 2024 Aug;60(4):5613-5620. Epub 2024 Mar 21. doi: 10.1109/TAES.2024.3379483

WANG, Chao ; HE, Jiajun ; XIONG, Wenxin et al. / Received Signal Strength Characterization in Mixed LOS and NLOS Environments. In: IEEE Transactions on Aerospace and Electronic Systems. 2024 ; Vol. 60, No. 4. pp. 5613-5620.