Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Errors in Global Positioning System01:26

Errors in Global Positioning System

407
Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
407
Local Attraction01:22

Local Attraction

476
Local attraction refers to disturbances in compass readings caused by magnetic influences from nearby objects such as metal fences, buried pipes, vehicles, buildings, power lines, or natural iron ore deposits. Small items like wristwatches, steel tools, or belt buckles can also interfere with the compass by creating local magnetic fields that distort the Earth's natural magnetic field. These distortions lead to inaccurate readings, posing navigation and land surveying challenges.Local...
476
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

455
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
455
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

518
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
518
Susceptibility, Permittivity and Dielectric Constant01:26

Susceptibility, Permittivity and Dielectric Constant

3.5K
When placed in an external electric field, a dielectric material gets polarized. The charge density in the dielectric material is given by the sum of the bound and free charge densities, while the total charge density can also be written in terms of the total electric field. The bound charge density can be measured in terms of polarization, leading to the relationship between electric displacement and polarization.
3.5K
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

1.1K
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured from...
1.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Activity Recognition Invariant to Wearable Sensor Unit Orientation Using Differential Rotational Transformations Represented by Quaternions.

Sensors (Basel, Switzerland)·2018
Same author

Localization and Tracking of Implantable Biomedical Sensors.

Sensors (Basel, Switzerland)·2017
See all related articles

Related Experiment Video

Updated: Mar 28, 2026

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.6K

Adaptive Environmental Source Localization and Tracking with Unknown Permittivity and Path Loss Coefficients.

Barış Fidan1, Ilknur Umay2

  • 1Department of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada. fidan@uwaterloo.ca.

Sensors (Basel, Switzerland)
|December 23, 2015
PubMed
Summary

This study introduces a geometric cooperative technique for accurately estimating environmental signal propagation properties. This method enhances adaptive localization and tracking algorithms for mobile sensory units and wireless sensor networks.

Keywords:
RSSTOFlocalizationpath loss coefficientsensor networks

More Related Videos

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.5K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

8.2K

Related Experiment Videos

Last Updated: Mar 28, 2026

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
09:36

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements

Published on: June 25, 2021

3.6K
Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band
06:43

Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band

Published on: May 2, 2018

7.5K
Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar
07:14

Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

Published on: May 1, 2018

8.2K

Area of Science:

  • Wireless Sensor Networks
  • Electromagnetics
  • Robotics and Control Systems

Background:

  • Accurate target localization using mobile sensors and wireless sensor networks (WSNs) necessitates precise environmental signal propagation knowledge.
  • Permittivity and path loss coefficients are critical for electromagnetic signal localization accuracy.

Purpose of the Study:

  • To propose a geometric cooperative technique for instantaneous estimation of environmental signal propagation coefficients.
  • To develop robust adaptive target localization and tracking algorithms resilient to coefficient uncertainties.

Main Methods:

  • A geometric cooperative technique is proposed for estimating permittivity and path loss coefficients.
  • Received Signal Strength (RSS) and Time-of-Flight (TOF) based range sensors are detailed.
  • The technique is integrated with Recursive Least Squares (RLS) for adaptive localization and adaptive motion control for tracking.

Main Results:

  • The proposed technique enables instantaneous estimation of signal propagation coefficients.
  • Adaptive localization and tracking algorithms demonstrate robustness against environmental uncertainties.
  • Mathematical analysis and simulation experiments verify the efficiency of the developed techniques.

Conclusions:

  • The geometric cooperative technique effectively estimates signal propagation properties.
  • Integrated adaptive algorithms provide robust target localization and tracking in uncertain environments.
  • This research advances the accuracy of mobile sensory unit and WSN applications.