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Total 1478 results found since Jan 2013.

Sensors, Vol. 16, Pages 793: Robust Statistical Approaches for RSS-Based Floor Detection in Indoor Localization
Floor detection for indoor 3D localization of mobile devices is currently an important challenge in the wireless world. Many approaches currently exist, but usually the robustness of such approaches is not addressed or investigated. The goal of this paper is to show how to robustify the floor estimation when probabilistic approaches with a low number of parameters are employed. Indeed, such an approach would allow a building-independent estimation and a lower computing power at the mobile side. Four robustified algorithms are to be presented: a robust weighted centroid localization method, a robust linear trilateration met...
Source: Sensors - May 30, 2016 Category: Biotechnology Authors: Alireza RazaviMikko ValkamaElena Lohan Tags: Article Source Type: research

Sensors, Vol. 16, Pages 1278: On the Dynamic RSS Feedbacks of Indoor Fingerprinting Databases for Localization Reliability Improvement
In this study, we propose a dynamic estimation resampling method for certain locations chosen from a set of remeasurement fingerprinting databases. Our proposed method adaptively applies different, newly updated and offline fingerprinting points according to the temporal and spatial strength of the location. To achieve accuracy within a simulated area, the proposed method requires approximately 3% of the feedback to attain a double correctness probability comparable to similar methods; in a real environment, our proposed method can obtain excellent 1 m accuracy errors in the positioning system.
Source: Sensors - August 14, 2016 Category: Biotechnology Authors: Xiaoyang Wen Wenyuan Tao Chung-Ming Own Zhenjiang Pan Tags: Article Source Type: research

Sensors, Vol. 17, Pages 2690: Target Tracking with Sensor Navigation Using Coupled RSS and AoA Measurements
Gomes This work addresses the problem of tracking a signal-emitting mobile target in wireless sensor networks (WSNs) with navigated mobile sensors. The sensors are properly equipped to acquire received signal strength (RSS) and angle of arrival (AoA) measurements from the received signal, while the target transmit power is assumed not known. We start by showing how to linearize the highly non-linear measurement model. Then, by employing a Bayesian approach, we combine the linearized observation model with prior knowledge extracted from the state transition model. Based on the maximum a posteriori (MAP) principle and t...
Source: Sensors - November 21, 2017 Category: Biotechnology Authors: Slavisa Tomic Marko Beko Rui Dinis Jo ão Gomes Tags: Article Source Type: research

Sensors, Vol. 18, Pages 1266: On Target Localization Using Combined RSS and AoA Measurements
rnardo This work revises existing solutions for a problem of target localization in wireless sensor networks (WSNs), utilizing integrated measurements, namely received signal strength (RSS) and angle of arrival (AoA). The problem of RSS/AoA-based target localization became very popular in the research community recently, owing to its great applicability potential and relatively low implementation cost. Therefore, here, a comprehensive study of the state-of-the-art (SoA) solutions and their detailed analysis is presented. The beginning of this work starts by considering the SoA approaches based on convex relaxation tech...
Source: Sensors - April 19, 2018 Category: Biotechnology Authors: Slavisa Tomic Marko Beko Rui Dinis Lu ís Bernardo Tags: Article Source Type: research

Sensors, Vol. 19, Pages 2323: RSS-Based Target Localization in Underwater Acoustic Sensor Networks via Convex Relaxation
qing Wu The received signal strength (RSS) based target localization problem in underwater acoustic wireless sensor networks (UWSNs) is considered. Two cases with respect to target transmit power are considered. For the first case, under the assumption that the reference of the target transmit power is known, we derive a novel weighted least squares (WLS) estimator by using an approximation to the RSS expressions, and then transform the originally non-convex problem into a mixed semi-definite programming/second-order cone programming (SD/SOCP) problem for reaching an efficient solution. For the second case, there is no...
Source: Sensors - May 19, 2019 Category: Biotechnology Authors: Shengming Chang Youming Li Yucheng He Yongqing Wu Tags: Article Source Type: research

Sensors, Vol. 20, Pages 1159: Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks
We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor approximation, and further approximated the error covariance matrix using a least-squares solution and the variance in measurement noise over the sensor nodes. The algorithm does not require any prior knowledge of the true target position or noise variance. Simulations validated the superior performance of our new method.
Source: Sensors - February 19, 2020 Category: Biotechnology Authors: SeYoung Kang TaeHyun Kim WonZoo Chung Tags: Article Source Type: research

Sensors, Vol. 20, Pages 6172: RSS-Based Localization and Mobility Evaluation Using a Single NB-IoT Cell
Weyn Low Power Wide Area Networks (LPWAN) have the ability to localize a mobile transmitter using signals of opportunity, as a low power and low cost alternative to satellite-based solutions. In this paper, we evaluate the accuracy of three localization approaches based on the Received Signal Strength (RSS). More specifically, the performance of a proximity, range-based and optimized fingerprint-based algorithm is evaluated in a large-scale urban environment using a public Narrowband Internet of Things (NB-IoT) network. The results show a mean location estimation error of 340, 320 and 204 m, respectively. During the m...
Source: Sensors - October 29, 2020 Category: Biotechnology Authors: Thomas Janssen Rafael Berkvens Maarten Weyn Tags: Article Source Type: research

Sensors, Vol. 21, Pages 909: A Review of Techniques for RSS-Based Radiometric Partial Discharge Localization
I. Lazaridis The lifespan assessment and maintenance planning of high-voltage power systems requires condition monitoring of all the operational equipment in a specific area. Electrical insulation of electrical apparatuses is prone to failure due to high electrical stresses, and thus it is a critical aspect that needs to be monitored. The ageing process of the electrical insulation in high voltage equipment may accelerate due to the occurrence of partial discharge (PD) that may in turn lead to catastrophic failures if the related defects are left untreated at an initial stage. Therefore, there is a requirement to moni...
Source: Sensors - January 29, 2021 Category: Biotechnology Authors: David W. Upton Keyur K. Mistry Peter J. Mather Zaharias D. Zaharis Robert C. Atkinson Christos Tachtatzis Pavlos I. Lazaridis Tags: Review Source Type: research

Sensors, Vol. 21, Pages 1731: An SOCP Estimator for Hybrid RSS and AOA Target Localization in Sensor Networks
Beko This work addresses the problem of target localization in three-dimensional wireless sensor networks (WSNs). The proposed algorithm is based on a hybrid system that employs angle of arrival (AOA) and received signal strength (RSS) measurements, where the target’s transmit power is considered as an unknown parameter. Although both cases of a known and unknown target’s transmit power have been addressed in the literature, most of the existing approaches for unknown transmit power are either carried out recursively, or require a high computational cost. This results in an increased execution time of these algori...
Source: Sensors - March 3, 2021 Category: Biotechnology Authors: Marcelo Salgueiro Costa Slavisa Tomic Marko Beko Tags: Communication Source Type: research

Sensors, Vol. 21, Pages 3044: Impact of Transmitter Positioning and Orientation Uncertainty on RSS-Based Visible Light Positioning Accuracy
mlooy This paper present simulation-based results on the impact of transmitter (Tx) position and orientation uncertainty on the accuracy of the visible light positioning (VLP) system based on the received signal strength (RSS). There are several constraining factors for RSS-based algorithms, particularly due to multipath channel characteristics and set-up uncertainties. The impact of Tx uncertainties on positioning error performance is studied, assuming a statistical modelling of the uncertainties. Simulation results show that the Tx uncertainties have a severe impact on the positioning error, which can be leveraged th...
Source: Sensors - April 27, 2021 Category: Biotechnology Authors: Neha Chaudhary Luis Nero Alves Zabih Ghassemlooy Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6270: Automated Calibration of RSS Fingerprinting Based Systems Using a Mobile Robot and Machine Learning
i This paper describes an automated method for the calibration of RSS-fingerprinting-based positioning systems. The method assumes using a robotic platform to gather fingerprints in the system environment and using them for training machine learning models. The obtained models are used for positioning purposes during the system operation. The presented calibration method covers all steps of the system calibration, from mapping the system environment using a GraphSLAM based algorithm to training models for radio map calibration. The study analyses four different models: fitting a log-distance path loss model, Gaussian P...
Source: Sensors - September 18, 2021 Category: Biotechnology Authors: Marcin Kolakowski Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3018: RSS/TDoA-Based Source Localization in Microwave UWB Sensors Networks Using Two Anchor Nodes
Fedotov The manuscript presents an algorithm for the optimal estimation of the amplitude and propagation delay time of an ultra-wideband radio signal, in systems for the passive location of fixed targets based on the hybrid RSS/TDoA method in two-dimensional space with two base stations. The optimal estimate is based on the Bayesian strategy of maximum a posteriori probability density, taking into account a priori data on the statistical properties of the Line of Sight radio channel during Gaussian monocycle propagation. The Bayesian Cramer–Rao lower bound (BCRLB) of the delay time and the amplitude estim...
Source: Sensors - April 14, 2022 Category: Biotechnology Authors: Sergei Ivanov Vladimir Kuptsov Vladimir Badenko Alexander Fedotov Tags: Article Source Type: research

Sensors, Vol. 22, Pages 3204: Toward Accurate Indoor Positioning: An RSS-Based Fusion of UWB and Machine-Learning-Enhanced WiFi
vitie A wide variety of sensors and devices are used in indoor positioning scenarios to improve localization accuracy and overcome harsh radio propagation conditions. The availability of these individual sensors suggests the idea of sensor fusion to achieve a more accurate solution. This work aims to address, with the goal of improving localization accuracy, the fusion of two conventional candidates for indoor positioning scenarios: Ultra Wide Band (UWB) and Wireless Fidelity (WiFi). The proposed method consists of a Machine Learning (ML)-based enhancement of WiFi measurements, environment observation, and sensor fusio...
Source: Sensors - April 21, 2022 Category: Biotechnology Authors: Ghazaleh Kia Laura Ruotsalainen Jukka Talvitie Tags: Article Source Type: research

Sensors, Vol. 23, Pages 5772: Wideband TDoA Positioning Exploiting RSS-Based Clustering
Witrisal The accuracy of radio-based positioning is heavily influenced by a dense multipath (DM) channel, leading to poor position accuracy. The DM affects both time of flight (ToF) measurements extracted from wideband (WB) signals—specifically, if the bandwidth is below 100 MHz—as well as received signal strength (RSS) measurements, due to the interference of multipath signal components onto the information-bearing line-of-sight (LoS) component. This work proposes an approach for combining these two different measurement technologies, leading to a robust position estimation in the presence...
Source: Sensors - June 20, 2023 Category: Biotechnology Authors: Andreas Fuchs Lukas Wielandner Daniel Neunteufel Holger Arthaber Klaus Witrisal Tags: Article Source Type: research

Sensors, Vol. 23, Pages 7199: A Hybrid Indoor Positioning System Based on Visible Light Communication and Bluetooth RSS Trilateration
wad Indoor positioning has become an attractive research topic because of the drawbacks of the global navigation satellite system (GNSS), which cannot detect accurate locations within indoor areas. Radio-based positioning technologies are one major category of indoor positioning systems. Another major category consists of visible light communication-based solutions, as they have become a revolutionary technology for indoor positioning in recent years. The proposed study intends to make use of both technologies by creating a hybrid indoor positioning system that uses VLC and Bluetooth together. The system first collects...
Source: Sensors - August 16, 2023 Category: Biotechnology Authors: Lamya Albraheem Sarah Alawad Tags: Article Source Type: research