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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,...
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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.
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Related Experiment Video

Updated: Mar 28, 2026

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
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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 summary is machine-generated.

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

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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.