Jove
Visualize
Contact Us

Related Concept Videos

Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

228
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...
228
Errors in Global Positioning System01:26

Errors in Global Positioning System

241
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,...
241
Adjusting a Traverse01:12

Adjusting a Traverse

277
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
277
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

294
Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
294
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

221
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...
221
Introduction to Global Positioning System01:30

Introduction to Global Positioning System

301
The Global Positioning System (GPS) revolutionized positioning on Earth, providing precise location data through satellite ranging. The GPS system was developed in 1978 by the U.S. Department of Defense  for military use, and it became available for civilian applications in 1983, transforming fields including navigation, fleet management, and time synchronization for telecommunications systems.GPS consists of satellites in medium Earth orbit, about 20,200 kilometers above the surface,...
301

You might also read

Related Articles

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

Sort by
Same author

CRIP1 promotes docetaxel resistance and immune-associated cell death modulation in prostate cancer.

Frontiers in pharmacology·2026
Same author

Global patterns of inequality in pedestrian shade provision.

Nature communications·2026
Same author

The science of urban informatics.

Science bulletin·2026
Same author

Multimodal sensor dataset from vehicle-mounted mobile mapping system for comprehensive urban scenes.

Scientific data·2025
Same author

Exploring affordable and effective pandemic containment measures in lower-income countries with a spatial SEIR model: a case study in South Africa.

BMC public health·2025
Same author

Revolutionizing Satellite Real-Time Air Pollution Alerts through New On-Orbit System-on-Chip Technology.

Environmental science & technology·2025
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 Experiment Video

Updated: Dec 13, 2025

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

8.1K

An RSSI Classification and Tracing Algorithm to Improve Trilateration-Based Positioning.

Yong Shi1,2, Wenzhong Shi2, Xintao Liu2

  • 1School of Computer Information and Engineering, Changzhou Institute of Technology, Changzhou 21300, China.

Sensors (Basel, Switzerland)
|August 6, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new Received Signal Strength Indicator (RSSI) filter to improve positioning stability and accuracy. The tri-partition RSSI classification filter enhances reliability in large-scale applications.

Keywords:
RSSI classificationRSSI filteraccuracystabilitytrilateral indoor positioning

More Related Videos

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.7K
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

3.4K

Related Experiment Videos

Last Updated: Dec 13, 2025

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

8.1K
Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

8.7K
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

3.4K

Area of Science:

  • Wireless communication
  • Indoor positioning systems
  • Signal processing

Background:

  • Received Signal Strength Indicator (RSSI)-based positioning offers cost-effectiveness and accuracy for large-scale applications.
  • However, RSSI signals are prone to instability due to environmental interference and obstructions.
  • Existing methods like the mean filter have limitations in addressing RSSI signal fluctuations.

Discussion:

  • A novel tri-partition RSSI classification and tracing algorithm is proposed as an RSSI filter.
  • This filter demonstrates low deviation (<1 dBm) for small RSSI samples and conforms to normal distribution with sufficient sample counts (>20).
  • The filter outperforms the mean filter with a narrower variance range (~1 dBm), reduced sample variance (25.9%), and improved mitigation of RSSI left-skewness (65%).

Key Insights:

  • The proposed RSSI filter significantly enhances positioning stability, showing a 4.45-fold improvement based on sample standard variance.
  • Positioning accuracy is improved by 20.5%, achieving an overall error of less than 1.46 meters.
  • Experimental validation confirms the filter's effectiveness in path-loss exponent fitting and location computing.

Outlook:

  • The developed RSSI filter presents a robust solution for improving the reliability of wireless positioning systems.
  • Further research could explore adaptive filtering techniques for dynamic environments.
  • Potential applications include enhanced navigation in complex indoor and outdoor settings.