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

Time and frequency -Domain Interpretation of Phase-lag Control01:21

Time and frequency -Domain Interpretation of Phase-lag Control

Phase-lag controllers are widely used in control systems to improve stability and reduce steady-state errors. A dimmer switch controlling the brightness of a light bulb serves as a practical example of phase-lag control, gradually adjusting the bulb's brightness. Mathematically, phase-lag control or low-pass filtering is represented when the factor 'a' is less than 1.
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any finite,...
Errors in Global Positioning System01:26

Errors in Global Positioning System

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,...
Interference: Path Lengths01:10

Interference: Path Lengths

Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
Types of Global Positioning System Surveys01:30

Types of Global Positioning System Surveys

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...
Real-World Applications of Space Curves01:29

Real-World Applications of Space Curves

Modern aerospace navigation depends on the accurate prediction of motion in three-dimensional space. In defense applications, radar systems continuously track both interceptors and moving aerial targets to find whether their flight paths will result in a collision. These motions are modeled mathematically as space curves, which represent paths that change continuously with time. Each object’s position is described by a vector function that specifies its location in terms of time-dependent...
Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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...

You might also read

Related Articles

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

Sort by
Same author

Experimental and simulation studies of strontium/fluoride-codoped hydroxyapatite nanoparticles with osteogenic and antibacterial activities.

Colloids and surfaces. B, Biointerfaces·2019
Same author

Crystalline Anionic Germanate Covalent Organic Framework for High CO<sub>2</sub> Selectivity and Fast Li Ion Conduction.

Chemistry (Weinheim an der Bergstrasse, Germany)·2019
Same author

Improved methane production and sulfate removal by anaerobic co-digestion corn stalk and levulinic acid wastewater pretreated by calcium hydroxide.

The Science of the total environment·2019
Same author

Prognostic value of TGF-β in lung cancer: systematic review and meta-analysis.

BMC cancer·2019
Same author

Proteomic characterization of bovine granulosa cells in dominant and subordinate follicles.

Hereditas·2019
Same author

The Nucleoprotein and Phosphoprotein of Peste des Petits Ruminants Virus Inhibit Interferons Signaling by Blocking the JAK-STAT Pathway.

Viruses·2019

Related Experiment Video

Updated: Jun 27, 2026

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

Joint Time-of-Arrival and Carrier-Phase Measurement and Tracking for Enhanced Loran Signals in Complex Interference

Ziming Yuan1,2, Shuaihe Gao1, Pengfei Li3

  • 1National Time Service Center, Chinese Academy of Sciences, Xi'an 710600, China.

Sensors (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

This study introduces a new method for enhanced Loran (eLoran) timing receivers to improve time-of-arrival (TOA) and carrier-phase tracking. The approach enhances signal-to-noise ratio (SNR) for more robust and stable frequency-offset estimation.

Keywords:
Kalman filteringTOA estimationcarrier-phase trackingeLoranmultiple-model adaptive filteringoutlier suppression

More Related Videos

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

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

Related Experiment Videos

Last Updated: Jun 27, 2026

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

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

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

Area of Science:

  • Navigation Systems
  • Signal Processing
  • Geodesy

Background:

  • Enhanced Loran (eLoran) timing receivers face challenges with carrier-phase lock and frequency-offset estimation under low signal-to-noise ratio (SNR) and high dynamics.
  • Time-of-arrival (TOA) measurements are susceptible to errors in these challenging conditions.

Purpose of the Study:

  • To propose a joint time-of-arrival (TOA) and carrier-phase measurement and tracking method for eLoran receivers.
  • To improve robustness and long-term stability in frequency-offset estimation.

Main Methods:

  • Exploiting pulse group periodicity for transmitter identification and Group Repetition Interval (GRI) lock, using epoch folding to enhance SNR.
  • Developing a three-stage sub-sample TOA estimation: energy-matching, cross-correlation, and parabolic interpolation.
  • Establishing a unified state-space model for joint Kalman filtering of TOA and phase, incorporating TOA bias, drift rate, and frequency offset.
  • Employing an innovation-likelihood-weighted parallel multiple-model filter with measurement-noise covariance inflation to mitigate outliers.

Main Results:

  • The proposed TOA estimation method converges within approximately 1 second.
  • Continuous phase tracking and stable frequency-offset estimation are maintained.
  • The joint method demonstrates superior robustness and long-term stability compared to conventional Costas loop methods.

Conclusions:

  • The joint TOA and carrier-phase tracking method effectively addresses carrier-phase loss of lock and frequency-offset drift in eLoran receivers.
  • The approach significantly enhances performance in low SNR and moderate-to-high dynamic environments.
  • This method offers a more robust and stable solution for critical navigation and timing applications.