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Source: Sensors

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Total 1478 results found since Jan 2013.

Sensors, Vol. 23, Pages 3337: Optimized Weight Low-Frequency Search Coil Magnetometer for Ground & ndash;Airborne Frequency Domain Electromagnetic Method
Sensors, Vol. 23, Pages 3337: Optimized Weight Low-Frequency Search Coil Magnetometer for Ground–Airborne Frequency Domain Electromagnetic Method Sensors doi: 10.3390/s23063337 Authors: Fei Teng Ye Tong Bofeng Zou The vertical component magnetic field signal in the ground–airborne frequency domain electromagnetic (GAFDEM) method is detected by the air coil sensor, which is parallel to the ground. Unfortunately, the air coil sensor has low sensitivity in the low-frequency band, making it challenging to detect effective low-frequency signals and causing low accuracy and large error for int...
Source: Sensors - March 22, 2023 Category: Biotechnology Authors: Fei Teng Ye Tong Bofeng Zou Tags: Communication Source Type: research

Sensors, Vol. 23, Pages 2545: A Survey of the Performance-Limiting Factors of a 2-Dimensional RSS Fingerprinting-Based Indoor Wireless Localization System
razak A receive signal strength (RSS) fingerprinting-based indoor wireless localization system (I-WLS) uses a localization machine learning (ML) algorithm to estimate the location of an indoor user using RSS measurements as the position-dependent signal parameter (PDSP). There are two stages in the system’s localization process: the offline phase and the online phase. The offline phase starts with the collection and generation of RSS measurement vectors from radio frequency (RF) signals received at fixed reference locations, followed by the construction of an RSS radio map. In the online phase, the instan...
Source: Sensors - February 24, 2023 Category: Biotechnology Authors: Abdulmalik Shehu Yaro Filip Maly Pavel Prazak Tags: Review Source Type: research

Sensors, Vol. 14, Pages 23970-24003: A Multi-Sensor RSS Spatial Sensing-Based Robust Stochastic Optimization Algorithm for Enhanced Wireless Tethering
The objective of this paper is to maximize robot mission capabilities by maximizing the wireless network capacity and to reduce the risk of communication failure. Thus, in this paper, we consider a multi-node wireless tethering structure called the “server-relay-client” framework that uses (multiple) relay nodes in between a server and a client node. We propose a robust stochastic optimization (RSO) algorithm using a multi-sensor-based RSS sampling method at the relay nodes to efficiently improve and balance the RSS between the source and client nodes to improve the network capacity and to provide redundant networking ...
Source: Sensors - December 12, 2014 Category: Biotechnology Authors: Ramviyas ParasuramanThomas FabryLuca MolinariKeith KershawMario CastroAlessandro MasiManuel Ferre Tags: Article Source Type: research

Sensors, Vol. 16, Pages 4: Integration of Directional Antennas in an RSS Fingerprinting-Based Indoor Localization System
In this paper, the integration of directional antennas in a room-level received signal strength (RSS) fingerprinting-based indoor localization system (ILS) is studied. The sensor reader (SR), which is in charge of capturing the RSS to infer the tag position, can be attached to an omnidirectional or directional antenna. Unlike commonly-employed omnidirectional antennas, directional antennas can receive a stronger signal from the direction in which they are pointed, resulting in a different RSS distributions in space and, hence, more distinguishable fingerprints. A simulation tool and a system management software have been a...
Source: Sensors - December 23, 2015 Category: Biotechnology Authors: Raúl Guzmán-QuirósAlejandro Martínez-SalaJosé Gómez-TorneroJoan García-Haro Tags: Article Source Type: research

Sensors, Vol. 16, Pages 1845: RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint
The Received Signal Strength (RSS) fingerprint-based indoor localization is an important research topic in wireless network communications. Most current RSS fingerprint-based indoor localization methods do not explore and utilize the spatial or temporal correlation existing in fingerprint data and measurement data, which is helpful for improving localization accuracy. In this paper, we propose an RSS fingerprint-based indoor localization method by integrating the spatio-temporal constraints into the sparse representation model. The proposed model utilizes the inherent spatial correlation of fingerprint data in the fingerpr...
Source: Sensors - November 2, 2016 Category: Biotechnology Authors: Xinglin Piao Yong Zhang Tingshu Li Yongli Hu Hao Liu Ke Zhang Yun Ge Tags: Article Source Type: research

Sensors, Vol. 18, Pages 4419: Research on RSS Data Optimization and DFL Localization for Non-Empty Environments
Huaxiang Lu Device-free localization (DFL) is a new technique which can estimate the target location through analyzing the shadowing effect on surrounding radio frequency (RF) links. In a relatively complex environment, the influences of random disturbance and the multipath effect are more serious. There are kinds of noises and disturbances in the received signal strength (RSS) data of RF links and the data itself can even be distorted, which will seriously affect the DFL accuracy. Most of the common filtering methods adopted in DFL field are not targeted and the filtering effects are unstable. This paper researches th...
Source: Sensors - December 13, 2018 Category: Biotechnology Authors: Wenyu Mao Rongxuan Shen Ke Wang Guoliang Gong Yi Xiao Huaxiang Lu Tags: Article Source Type: research

Sensors, Vol. 19, Pages 230: Target Localization via Integrated and Segregated Ranging Based on RSS and TOA Measurements
eko This work addresses the problem of target localization in adverse non-line-of-sight (NLOS) environments by using received signal strength (RSS) and time of arrival (TOA) measurements. It is inspired by a recently published work in which authors discuss about a critical distance below and above which employing combined RSS-TOA measurements is inferior to employing RSS-only and TOA-only measurements, respectively. Here, we revise state-of-the-art estimators for the considered target localization problem and study their performance against their counterparts that employ each individual measurement exclusively. It is s...
Source: Sensors - January 9, 2019 Category: Biotechnology Authors: Slavisa Tomic Marko Beko Tags: Review Source Type: research

Sensors, Vol. 19, Pages 3105: An Efficient RSS Localization for Underwater Wireless Sensor Networks
hin Localization is a key-enabling technology for many applications in underwater wireless sensor networks. Traditional approaches for received signal strength (RSS)-based localization often require uniform distribution for anchor nodes and suffer from poor estimates according to unpredictable and uncontrollable noise conditions. In this paper, we establish an RSS-based localization scheme to determine the location of an unknown normal sensor from a certain measurement set of potential anchor nodes. First, we present a practical path loss model for wireless communication in underwater acoustic environments, where ancho...
Source: Sensors - July 12, 2019 Category: Biotechnology Authors: Thu L. N. Nguyen Yoan Shin Tags: Article Source Type: research

Sensors, Vol. 19, Pages 3711: RSS Indoor Localization Based on a Single Access Point
Stavrou This research work investigates how RSS information fusion from a single, multi-antenna access point (AP) can be used to perform device localization in indoor RSS based localization systems. The proposed approach demonstrates that different RSS values can be obtained by carefully modifying each AP antenna orientation and polarization, allowing the generation of unique, low correlation fingerprints, for the area of interest. Each AP antenna can be used to generate a set of fingerprint radiomaps for different antenna orientations and/or polarization. The RSS fingerprints generated from all antennas of the single ...
Source: Sensors - August 26, 2019 Category: Biotechnology Authors: Akis Kokkinis Loizos Kanaris Antonio Liotta Stavros Stavrou Tags: Article Source Type: research

Sensors, Vol. 21, Pages 3418: An Efficient Indoor Positioning Method Based on Wi-Fi RSS Fingerprint and Classification Algorithm
Park Wi-Fi received signal strength (RSS) fingerprint-based indoor positioning has been widely used because of its low cost and universality advantages. However, the Wi-Fi RSS is greatly affected by multipath interference in indoor environments, which can cause significant errors in RSS observations. Many methods have been proposed to overcome this issue, including the average method and the error handling method, but these existing methods do not consider the ever-changing dynamics of RSS in indoor environments. In addition, traditional RSS-based clustering algorithms have been proposed in the literature, but they ma...
Source: Sensors - May 14, 2021 Category: Biotechnology Authors: Balaji Ezhumalai Moonbae Song Kwangjin Park Tags: Article Source Type: research

Sensors, Vol. 21, Pages 4455: Multi-Target Localization Based on Unidentified Multiple RSS/AOA Measurements in Wireless Sensor Networks
Chung All existing hybrid target localization algorithms using received signal strength (RSS) and angle of arrival (AOA) measurements in wireless sensor networks, to the best of our knowledge, assume a single target such that even in the presence of multiple targets, the target localization problem is translated to multiple single-target localization problems by assuming that multiple measurements in a node are identified with their originated targets. Herein, we first consider the problem of multi-target localization when each anchor node contains multiple RSS and AOA measurement sets of unidentified origin. We propos...
Source: Sensors - June 29, 2021 Category: Biotechnology Authors: Seyoung Kang Taehyun Kim Wonzoo Chung Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5549: Unsupervised Learning in RSS-Based DFLT Using an EM Algorithm
alkama Received signal strength (RSS) changes of static wireless nodes can be used for device-free localization and tracking (DFLT). Most RSS-based DFLT systems require access to calibration data, either RSS measurements from a time period when the area was not occupied by people, or measurements while a person stands in known locations. Such calibration periods can be very expensive in terms of time and effort, making system deployment and maintenance challenging. This paper develops an Expectation-Maximization (EM) algorithm based on Gaussian smoothing for estimating the unknown RSS model parameters, liberating the s...
Source: Sensors - August 18, 2021 Category: Biotechnology Authors: Ossi Kaltiokallio Roland Hostettler H üseyi̇n Yi̇ği̇tler Mikko Valkama Tags: Article Source Type: research

Sensors, Vol. 21, Pages 5685: An RSS Transform —Based WKNN for Indoor Positioning
Sensors, Vol. 21, Pages 5685: An RSS Transform—Based WKNN for Indoor Positioning Sensors doi: 10.3390/s21175685 Authors: Rong Zhou Yexi Yang Puchun Chen An RSS transform–based weighted k-nearest neighbor (WKNN) indoor positioning algorithm, Q-WKNN, is proposed to improve the positioning accuracy and real-time performance of Wi-Fi fingerprint–based indoor positioning. To smooth the RSS fluctuation difference caused by acquisition equipment, time, and environment changes, base Q is introduced in Q-WKNN to transform RSS to Q-based RSS, based on the relationship between the received signal strength (RSS) and ...
Source: Sensors - August 24, 2021 Category: Biotechnology Authors: Rong Zhou Yexi Yang Puchun Chen Tags: Article Source Type: research

Sensors, Vol. 21, Pages 6733: On the Development of Autonomous Vehicle Safety Distance by an RSS Model based on a Variable Focus Function Camera
g-Min Kim Today, a lot of research on autonomous driving technology is being conducted, and various vehicles with autonomous driving functions, such as ACC (adaptive cruise control) are being released. The autonomous vehicle recognizes obstacles ahead by the fusion of data from various sensors, such as lidar and radar sensors, including camera sensors. As the number of vehicles equipped with such autonomous driving functions increases, securing safety and reliability is a big issue. Recently, Mobileye proposed the RSS (responsibility-sensitive safety) model, which is a white box mathematical model, to secure the safety...
Source: Sensors - October 11, 2021 Category: Biotechnology Authors: Min-Joong Kim Sung-Hun Yu Tong-Hyun Kim Joo-Uk Kim Young-Min Kim Tags: Article Source Type: research

Sensors, Vol. 23, Pages 592: RSS Model Improvement Considering Road Conditions for the Application of a Variable Focus Function Camera
Kim The automobile industry has developed dramatically in recent years, the supply of vehicles has also increased, and thus it has become deeply established in everyday life. Recently, as the supply of vehicles with autonomous driving functions increases, the safety of vehicles is also an emerging issue. Various car-following models for the safe driving of vehicles have long been studied by various people, and recently, a Responsibility-Sensitive Safety (RSS) model has been proposed by Mobileye. However, in existing car-following models or the RSS model, the safe distance between vehicles is presented using only vehic...
Source: Sensors - January 4, 2023 Category: Biotechnology Authors: Kim Kim Tags: Article Source Type: research