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

Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

196
The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
196
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

149
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.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
149

You might also read

Related Articles

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

Sort by
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

Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning.

Sensors (Basel, Switzerland)·2021
Same author

High-Efficiency Super-Resolution FMCW Radar Algorithm Based on FFT Estimation.

Sensors (Basel, Switzerland)·2021
Same author

Low-Complexity MUSIC-Based Direction-of-Arrival Detection Algorithm for Frequency-Modulated Continuous-Wave Vital Radar.

Sensors (Basel, Switzerland)·2020
Same author

Low-Complexity Joint Range and Doppler FMCW Radar Algorithm Based on Number of Targets.

Sensors (Basel, Switzerland)·2019
Same author

A Low-Complexity FMCW Surveillance Radar Algorithm Using Two Random Beat Signals.

Sensors (Basel, Switzerland)·2019
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Oct 3, 2025

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

8.6K

FMCW Radar Estimation Algorithm with High Resolution and Low Complexity Based on Reduced Search Area.

Bong-Seok Kim1, Youngseok Jin1, Jonghun Lee1,2

  • 1Division of Automotive Technology, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new frequency-modulated continuous wave (FMCW) radar algorithm. It achieves high-resolution target parameter estimation with significantly reduced computational complexity by combining Fast Fourier Transform (FFT) and MUSIC algorithm advantages.

Keywords:
FMCW radarestimationlow complexitysearch areasuper resolution

More Related Videos

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

7.9K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Related Experiment Videos

Last Updated: Oct 3, 2025

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

8.6K
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

7.9K
Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles
11:54

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

9.4K

Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Electromagnetics

Background:

  • Fast Fourier Transform (FFT)-based algorithms offer low complexity but suffer from low resolution in frequency-modulated continuous wave (FMCW) radar systems.
  • Subspace-based algorithms, like Multiple Signal Classification (MUSIC), provide high resolution but are computationally intensive.
  • A trade-off exists between resolution performance and complexity in existing FMCW radar target estimation algorithms.

Purpose of the Study:

  • To develop a novel FMCW radar estimation algorithm that combines high resolution with low computational complexity.
  • To leverage the strengths of both FFT-based and MUSIC algorithms to overcome their individual limitations.
  • To improve the accuracy of estimating multiple targets with similar parameters in FMCW radar systems.

Main Methods:

  • The proposed algorithm utilizes Fast Fourier Transform (FFT) estimation results to reduce the data input for subspace-based processing.
  • It significantly narrows the search region for pseudo-spectrum calculations within the subspace-based algorithm.
  • Combines low-complexity FFT advantages with high-resolution MUSIC performance.

Main Results:

  • The developed algorithm demonstrates high-resolution target parameter estimation capabilities.
  • Achieves performance comparable to conventional and low-complexity MUSIC algorithms.
  • Exhibits considerably lower computational complexity compared to traditional high-resolution methods.

Conclusions:

  • The proposed FMCW radar algorithm effectively balances high resolution and low complexity.
  • It offers a practical solution for accurate multi-target detection in FMCW radar systems.
  • This approach represents a significant advancement in efficient radar signal processing.