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

High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

1.3K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
1.3K

You might also read

Related Articles

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

Sort by
Same author

Analysis of Intentional Electromagnetic Interference on GENEC Model Using Cylindrical Mode Matching.

Sensors (Basel, Switzerland)·2023
See all related articles

Related Experiment Video

Updated: Jun 7, 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

8.4K

Two-Dimensional Scattering Center Estimation for Radar Target Recognition Based on Multiple High-Resolution Range

Kang-In Lee1, Jin-Hyeok Kim2, Young-Seek Chung3

  • 1Defense Rapid Acquisition Technology Research Institute, Agency for Defense Development, Seoul 07062, Republic of Korea.

Sensors (Basel, Switzerland)
|November 9, 2024
PubMed
Summary
This summary is machine-generated.

A novel method estimates 2D scattering centers using multiple high-resolution range profiles (HRRPs) for radar target recognition. This approach enhances accuracy and reduces computational load for aircraft identification.

Keywords:
high resolution range profilemicrowave propagationradar target recognitionscattering center estimationtarget signature

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

7.7K
Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

5.2K

Related Experiment Videos

Last Updated: Jun 7, 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

8.4K
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

7.7K
Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

5.2K

Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Computational Electromagnetics

Background:

  • Accurate identification of radar targets is crucial for defense and surveillance.
  • Estimating target scattering centers provides vital information for radar target recognition.
  • Existing methods often involve high computational complexity or limitations in accuracy.

Purpose of the Study:

  • To develop a new, computationally efficient strategy for estimating two-dimensional (2D) target scattering centers.
  • To improve the accuracy of radar target recognition using multiple high-resolution range profiles (HRRPs).
  • To validate the proposed method against conventional techniques using both simulated and experimental data.

Main Methods:

  • A geometry-based algorithm utilizing range information from multiple HRRPs at various observation angles.
  • Locating scattering centers at the intersection points of lines derived from HRRP data.
  • Formulating and comparing the computational complexity with synthetic aperture radar (SAR) image and HRRP sequence-based methods.
  • Utilizing estimated radar scattering centers as features for a conventional classifier machine.

Main Results:

  • The proposed algorithm successfully estimates 2D target scattering centers with reduced computational complexity.
  • Numerical and experimental results for three aircraft types demonstrate comparable or superior performance to SAR-based methods.
  • The estimated scattering centers proved effective as features for target classification.

Conclusions:

  • The developed estimation strategy offers a significant reduction in computational complexity for 2D scattering center estimation.
  • The geometry-based approach provides a robust and accurate method for radar target recognition.
  • The findings support the use of HRRP-derived scattering centers for effective aircraft classification.