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Relevant bibliographies by topics / Predicted Received Signal Strength (RSS) / Dissertations / Theses

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Dissertations / Theses on the topic 'Predicted Received Signal Strength (RSS)'

Author: Grafiati

Published: 4 June 2025

Last updated: 15 July 2025

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1

Zegeye, Wondimu K., and Seifemichael B. Amsalu. "Minimum Euclidean Distance Algorithm for Indoor WiFi Received Signal Strength (RSS) Fingerprinting." International Foundation for Telemetering, 2016. http://hdl.handle.net/10150/624190.

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While WiFi-based indoor localization is attractive, the need for a significant degree of pre-deployment effort is a key challenge. In this paper, indoor localization with no pre-deployment effort in an indoor space, such as an office building corridor, with WiFi coverage but no apriori knowledge of the placement of the access points(APs) is implemented for mobile devices. WiFi Received Signal Strength(RSS) in the considered environment is used to build radio maps using WiFi fingerprinting approach. Two architectures are developed based on this localization algorithm. The first one involve

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2

Li, Kejiong. "Indoor and outdoor location estimation in large areas using received signal strength." Thesis, Queen Mary, University of London, 2013. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8537.

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Location estimation when deployed on wireless networks supports a range of services including user tracking and monitoring, health care support and push and pull marketing. The main subject of this thesis is improving indoor and outdoor location estimation accuracy using received signal strength (RSS) from neighbouring base stations (BSs) or access points (APs), without using the global positioning system (GPS) or triangulation methods. For the outdoor environment, state-of-the-art deterministic and probabilistic algorithms are adapted to exploit principal components (PCs) and clustering. The

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3

Galbraith, Andrew. "Multilateration in Direct ShortRange Communications Networks : Utilising Basic Safety Messages and Received Signal Strength Ranging." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97682.

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Traditional satellite positioning systems have limited resolution and have proved inaccuratein areas such as urban canyons where signals are subject to bounce phenomena or indeed may be entirely unavailable. An alternative method of positioning is that of tri/multilateration, which uses known positions and distances from beacon points to locate a receiver. In this project, a software was developed which used DSRC Basic Safety Messages (containing locational information) in combination with Received Signal Strength metrics (translated to distance information) to carry out such positioning in st

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Sundberg, Simon. "Localization of eNodeBs with a Large Set of Measurements from Train Routers." Thesis, Karlstads universitet, Institutionen för matematik och datavetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-75456.

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This master thesis investigates the possibility of locating LTE base stations, known as eNodeBs, using signal measurements collected by routers on trains. Four existing algorithms for transmitter localization are adopted: the centroid, strongest signal, Monte Carlo path loss simulation and power difference of arrival (PDoA) methods. An improved version of Monte Carlo path loss simulation called logloss fitting is proposed. Furthermore, a novel localization method called sector fitting is presented, which operates solely on the cell identity and geographical distribution of the measurements. Th

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Zang, Yuzhang. "UWB Motion and Micro-Gesture Detection -Applications to interactive electronic gaming and remote sensing." Digital WPI, 2016. https://digitalcommons.wpi.edu/etd-theses/1241.

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The ultra-wideband (UWB) technology has a vast unlicensed frequency spectrum, which can support precise indoor positioning in orders of centimeters. The features of UWB signals can be utilized for variety of applications. In this project first we present an empirical channel models to analyze the localization accuracy of the UWB technology for interactive electronic gaming (Ping-Pong) in Line-of-Sight (LOS) and Obstructed LOS (OLOS) scenarios. Then we introduce a new concept that we refer to as micro-gesture detection to handle the more refined motions of the hand, such as rotation, while one

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Fekih, Hassen Wiem. "A ubiquitous navigation service on smartphones." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI006.

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La navigation pédestre est un domaine de recherche en pleine croissance qui vise à développer des services assurant le positionnement et la navigation en continu des personnes à l'extérieur comme à l'intérieur de bâtiments. Dans cette thèse, nous proposons un prototype de service pour la navigation pédestre ubiquitaire qui tient compte des préférences de l'utilisateur et de la technologie de positionnement optimale disponible. Notre objectif principal est d'estimer, d'une façon continue, la position d'un piéton muni d'un smartphone. En premier lieu, nous proposons un nouvel algorithme, nommé U

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7

Shuaieb, Wafa S. A. "Radio-Location Techniques for Localization and Monitoring Applications. A study of localisation techniques, using OFDM system under adverse channel conditions and radio frequency identification for object identification and movement tracking." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/18185.

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A wide range of services and applications become possible when accurate position information for a radio terminal is available. These include: location-based services; navigation; safety and security applications. The commercial, industrial and military value of radio-location is such that considerable research effort has been directed towards developing related technologies, using satellite, cellular or local area network infrastructures or stand-alone equipment. This work studies and investigates two location techniques. The first one presents an implementation scheme for a wide

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8

Obeidat, Huthaifa A. N. "Investigation of Indoor Propagation Algorithms for Localization Purposes: Simulation and Measurements of Indoor Propagation Algorithms for Localization Applications using Wall Correction Factors, Local Mean Power Estimation and Ray Tracing Validations." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/17385.

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The objective of this work is to enhance the awareness of the indoor propagation behaviour, by a set of investigations including simulations and measurements. These investigations include indoor propagation behaviour, local mean power estimation, proposing new indoor path loss model and introducing a case study on 60 GHz propagation in indoor environments using ray tracing and measurements. A summary of propagation mechanisms and manifestations in the indoor environment is presented. This comprises the indoor localization techniques using channel parameters in terms of angle of arrival (A

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9

Obeidat, Huthaifa A. N., Raed A. Abd-Alhameed, James M. Noras, et al. "Indoor localization using received signal strength." 2013. http://hdl.handle.net/10454/9702.

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No<br>A comparison between two indoor localization algorithms using received signal strength is carried out. The first algorithm is the vector algorithm; the second is the matrix algorithm. The comparison considered the effects of the reference points, the access point, and the frequency on the accuracy of the localization process. The experiments were carried out using ray tracing software and MATLAB. This paper justifies the use of adopting the matrix algorithm.

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Gutierrez, Felix. "An experimental comparison of wireless position locating algorithms based on received signal strength." 2008. http://hdl.handle.net/1969.1/ETD-TAMU-2395.

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This thesis presents and discusses research associated with locating wireless devices. Several algorithms have been developed to determine the physical location of the wireless device and a subset of these algorithms only rely on received signal strength (RSS). Two of the most promising RSS-based algorithms are the LC and dwMDS algorithms; however each algorithm has only been tested via computer simulations with different environmental parameters. To determine which algorithm performs better (i.e., produces estimates that are closer to the true location of the wireless device), a fair comparis

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11

Obeidat, Huthaifa A. N., Yousef A. S. Dama, Raed A. Abd-Alhameed, et al. "A Comparison between Vector Algorithm and CRSS Algorithms for Indoor Localization using Received Signal Strength." 2016. http://hdl.handle.net/10454/8441.

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no<br>A comparison is presented between two indoor localization algorithms using received signal strength, namely the vector algorithm and the Comparative Received Signal Strength (CRSS) algorithm. Signal values were obtained using ray tracing software and processed with MATLAB to ascertain the effects on localization accuracy of radio map resolution, number of access points and operating frequency. The vector algorithm outperforms the CRSS algorithm, which suffers from ambiguity, although that can be reduced by using more access points and a higher operating frequency. Ambiguity is worsened b

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12

Stoyanova, Tsenka. "RF signal modeling and deployment strategy targeting outdoor RSS-based localization and tracking applications in wireless sensor network." Thesis, 2011. http://hdl.handle.net/10889/5237.

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The localization of the sensor nodes is a fundamental issue in the area of wireless sensor networks (WSNs). An attractive way for estimating the location of mobile or static wireless objects is by using the received signal strength (RSS) attenuation with the distance, which does not require any additional hardware. This is possible due to the fact that in most sensor nodes radios the received signal strength indicator (RSSI) is a standard feature and can be obtained automatically by the received messages. On the other hand the RSS is known for being noisy, unstable, variable and difficult to

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13

Vicente, David José Marques. "Distributed Algorithms for Target Localization in Wireless Sensor Networks Using Hybrid Measurements." Master's thesis, 2017. http://hdl.handle.net/10362/27875.

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This dissertation addresses the target localization problem in wireless sensor networks (WSNs). WSNs is now a widely applicable technology which can have numerous practical applications and offer the possibility to improve people’s lives. A required feature to many functions of a WSN, is the ability to indicate where the data reported by each sensor was measured. For this reason, locating each sensor node in a WSN is an essential issue that should be considered. In this dissertation, a performance analysis of two recently proposed distributed localization algorithms for cooperative 3-D wirel

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14

Hyun, Eugene Jaiho. "An indoor-location sensing system using WLAN and ultrasonic/radio technologies." Thesis, 2008. http://hdl.handle.net/1828/1080.

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Ubiquitous location-aware systems and services are becoming a reality as made evident by the widely known Global Position System (GPS). However, indoor location-aware sensing systems are not yet commercially viable since: (i) for a GPS-based system, the signals attenuate and can multipath indoors causing weak signal and poor location (ii) for a Radiolocation-based system, the propagation of radio signals are complex and difficult to model. In this paper, we present RadLoco, a location-sensing system that uses IEEE 802.11 Wireless LAN survey techniques to create a radio Received Signal Strength

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15

Tomic, Slaviša. "Target Localization and Tracking in Wireless Sensor Networks." Doctoral thesis, 2017. http://hdl.handle.net/10362/21537.

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This thesis addresses the target localization problem in wireless sensor networks (WSNs) by employing statistical modeling and convex relaxation techniques. The first and the second part of the thesis focus on received signal strength (RSS)- and RSS-angle of arrival (AoA)-based target localization problem, respectively. Both non-cooperative and cooperative WSNs are investigated and various settings of the localization problem are of interest (e.g. known and unknown target transmit power, perfectly and imperfectly known path loss exponent). For all cases, maximum likelihood (ML) estimation prob

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