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Errors in Global Positioning System

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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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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
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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.
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Updated: Nov 29, 2025

Continuous-Wave Propagation Channel-Sounding Measurement System - Testing, Verification, and Measurements
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Target Localization with Unknown Transmit Power and Path-Loss Exponent Using a Kalman Filter in WSNs.

SeYoung Kang1, TaeHyun Kim2, WonZoo Chung1

  • 1Division of Computer and Communications Engineering, Korea University, Seoul 02841, Korea.

Sensors (Basel, Switzerland)
|November 21, 2020
PubMed
Summary

This study introduces a new hybrid localization algorithm for wireless sensor networks. It accurately estimates unknown transmit power and path-loss exponent, achieving high target localization accuracy even with noisy signals.

Area of Science:

  • Wireless Sensor Networks
  • Localization Algorithms
  • Signal Processing

Background:

Keywords:
Kalman filter (KF)angle of arrival (AOA)path-loss exponent (PLE)received signal strength (RSS)target localizationtransmit power (TP)wireless sensor networks (WSNs)

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  • Accurate target localization in wireless sensor networks (WSNs) relies on transmit power and path-loss exponent.
  • Estimating these parameters is crucial when they are unknown for reliable WSN deployment.
  • Conventional localization algorithms struggle without prior knowledge of these critical parameters.