Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Doppler Effect - II

Doppler Effect - II

The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...

Doppler Effect - I

Doppler Effect - I

The Doppler effect and Doppler shift were named after the Austrian physicist and mathematician Christian Johann Doppler in 1842, who conducted experiments with both moving sources and moving observers. Consider an observer standing on a street corner, observing an ambulance with a siren sound passing by at a constant speed. The observer experiences two characteristic changes in the sound of the siren. Initially, the sound increases in loudness as the ambulance approaches and decreases in...

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments

Electronic Distance Measuring Instruments (EDMs) are essential tools in modern surveying, offering precise distance measurements by emitting electromagnetic signals and calculating the time required for these signals to travel to a target and return. Two primary types of signals are used in EDMs — light waves and microwaves — each suited to specific environmental and distance requirements. Light-wave-based EDMs utilize either infrared or laser light, providing high accuracy over...

You might also read

Related Articles

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

Sort by

Same author

A deep learning-based markerless gait analysis model for dogs shows promising accuracy when validated with 2-dimensional marker-based data.

American journal of veterinary research·2026

Same author

Sub-Terahertz Imaging-Based Real-Time Non-Destructive Inspection System for Estimating Water Activity and Foreign Matter Depth in Seaweed.

Sensors (Basel, Switzerland)·2024

Same author

Bioactive Compounds and Quality Evaluation of Red-Pigmented Rice Processed by Germination and Roasting.

Foods (Basel, Switzerland)·2022

Same author

Application time and persistence of transcranial direct current stimulation (tDCS) against neuronal death resulting from transient cerebral ischemia.

Laboratory animal research·2022

Same author

Machine Learning-Based Human Recognition Scheme Using a Doppler Radar Sensor for In-Vehicle Applications.

Sensors (Basel, Switzerland)·2020

Same author

Existence and possible roles of independent non-CpG methylation in the mammalian brain.

DNA research : an international journal for rapid publication of reports on genes and genomes·2020

Search research articles

Related Experiment Video

Updated: Mar 26, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

A Pedestrian Detection Scheme Using a Coherent Phase Difference Method Based on 2D Range-Doppler FMCW Radar.

Eugin Hyun¹, Young-Seok Jin², Jong-Hun Lee³

¹Advanced Radar Technology (ART) Lab., Division of IoT and Robotics Convergence Research, DGIST, 333 Techno Jungang-daero, Hyeonpung-myeon, Dalseong-gun, Daegu 711-873, Korea. braham@dgist.ac.kr.

Sensors (Basel, Switzerland)

|January 26, 2016

Summary

A new coherent phase difference method enhances pedestrian detection in automotive radar systems. This technique effectively separates weak pedestrian signals from strong clutter, improving safety in complex environments.

Keywords:

2D FFT FMCW radar automotive radar pedestrian detection weak target

More Related Videos

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

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

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

Published on: May 1, 2018

Related Experiment Videos

Last Updated: Mar 26, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

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

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

Published on: May 1, 2018

Area of Science:

Automotive radar systems
Signal processing for autonomous driving
Electromagnetic wave applications

Background:

Frequency Modulated Continuous Wave (FMCW) radar is crucial for automotive pedestrian detection.
Traditional methods struggle to distinguish weak pedestrian targets from strong environmental clutter.
Windowing techniques can obscure faint signals, limiting detection accuracy.

Purpose of the Study:

To develop an advanced pedestrian detection method for highly cluttered automotive environments.
To overcome the limitations of conventional 2D FFT-based detection in FMCW radar systems.
To improve the reliability of detecting weak moving targets like pedestrians.

Main Methods:

Utilizing a fast-ramp based 2D range-Doppler FMCW radar system.
Implementing a novel coherent phase difference method to analyze range-FFT complex spectra.
Extracting pedestrian range profiles based on phase differences across radar ramps.
Generating a clutter-free 2D range-Doppler map using Doppler FFT.

Main Results:

The proposed coherent phase difference method significantly outperforms conventional 2D FFT detection.
Successful isolation of moving pedestrian signals from strong clutter in laboratory tests.
Demonstrated effectiveness in scenarios where pedestrians are masked by clutter side-lobes.
Verified superior signal processing results with a real-time data logging system.

Conclusions:

The coherent phase difference method offers a robust solution for pedestrian detection in challenging, cluttered environments.
This approach enhances the performance of automotive radar systems, particularly for weak and slow-moving targets.
The developed real-time system validates the practical applicability and effectiveness of the proposed detection scheme.