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

You might also read

Related Articles

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

Sort by
Same author

Canned seafood as a potential source of microplastics exposure with taxon-specific partitioning and packaging-derived contamination.

Environmental pollution (Barking, Essex : 1987)·2026
Same author

Age-specific disparities in rural and urban survival among patients with IDH-wildtype glioblastoma: a population-based study.

Cancer causes & control : CCC·2026
Same author

Large-scale integrated optoelectronic chaos for machine learning acceleration.

Nature communications·2026
Same author

High-accuracy multi-channel optical transfer delay measurement using time-gated phase-based ranging.

Optics letters·2026
Same author

Global research trends and emerging frontiers of nanozymes in cancer therapy based on bibliometric and knowledge mapping analysis from 2001 to 2025.

Discover nano·2026
Same author

[Experimental study of patient-specific three-dimensional-printed drill guide-assisted C <sub>2</sub> pedicle screw placement in models derived from patients with basilar invagination].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery·2026

Related Experiment Video

Updated: Oct 17, 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

Towards small target recognition with photonics-based high resolution radar range profiles.

Jinhu Li, Fangzheng Zhang, Yu Xiang

    Optics Express
    |October 7, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Photonics-based radar achieves 97.16% accuracy in recognizing small targets using high-resolution range profiles (HRRPs). This advanced radar technology significantly outperforms traditional electronic radar for crucial applications like air defense and security.

    More Related Videos

    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    15.1K
    Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments
    06:40

    Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments

    Published on: January 28, 2021

    4.5K

    Related Experiment Videos

    Last Updated: Oct 17, 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
    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    15.1K
    Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments
    06:40

    Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments

    Published on: January 28, 2021

    4.5K

    Area of Science:

    • Photonics and Radar Systems
    • Signal Processing
    • Machine Learning for Target Recognition

    Background:

    • Traditional radar systems have limitations in bandwidth and range resolution.
    • Photonics-based radar offers expanded bandwidth, enabling enhanced radar range resolution.
    • High-resolution range profiles (HRRPs) are crucial for recognizing small-size targets.

    Purpose of the Study:

    • To investigate the performance of small target recognition using HRRPs from a photonics-based broadband radar.
    • To evaluate the effectiveness of a convolutional neural network (CNN) for HRRP feature extraction and target classification.
    • To compare the performance of photonics-based radar with traditional electronic radar for small target recognition.

    Main Methods:

    • Development of a photonics-based broadband radar with an 8 GHz bandwidth (28-36 GHz) using photonic frequency multiplication and mixing.
    • Application of a convolutional neural network (CNN) for analyzing high-resolution range profiles (HRRPs).
    • Experimental demonstration of small target recognition using the developed system.

    Main Results:

    • Achieved a recognition accuracy of 97.16% for four types of small-size targets.
    • Demonstrated superior performance compared to a 77-GHz electronic radar, with improvements of 31.57% (2-GHz bandwidth) and 8.37% (4-GHz bandwidth).
    • Validated good generalization capability and stable performance of the photonics-based radar system.

    Conclusions:

    • Photonics-based radar provides an efficient solution for one-dimensional HRRP-based small target recognition.
    • The technology shows significant potential for applications in air defense, security checks, and intelligent transportation.
    • Enhanced bandwidth and resolution from photonics-based radar are key to improved small target detection.