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 Experiment Video

Updated: Sep 5, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
05:41

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

724

Three-Dimensional Source Localization with Sparse Symmetric Cross Array.

Haowei Wu1,2, Yiqiao Shi1, Jinglan Ou1

  • 1School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China.

Sensors (Basel, Switzerland)
|July 9, 2022
PubMed
Summary
This summary is machine-generated.

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

Efficient organic removal from hypersaline reverse osmosis concentrates through a hybrid microbubble ozonation-coagulation process: A two-stage removal procedure caused by two-sided effect of salinity.

Water research·2025
Same author

Xiaoqing: A Q&A model for glaucoma based on LLMs.

Computers in biology and medicine·2024
Same author

Steganography for medical record image.

Computers in biology and medicine·2023
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

A new Reduced-Dimension MUSIC (RD-MUSIC) algorithm significantly lowers computational complexity for 3D source localization. This method achieves performance comparable to existing algorithms while being more efficient for practical applications.

Area of Science:

  • Signal Processing
  • Array Signal Processing
  • Electromagnetics

Background:

  • Accurate three-dimensional (3-D) source localization requires elevation angle, azimuth angle, and range.
  • Classical 3-D Multiple Signal Classification (3D-MUSIC) methods suffer from high computational complexity.

Purpose of the Study:

  • To propose a novel low-complexity Reduced-Dimension MUSIC (RD-MUSIC) algorithm.
  • To reduce the computational burden of 3-D source localization using spherical wave-fronts.

Main Methods:

  • Developed a RD-MUSIC algorithm utilizing a sparse symmetric cross array (SSCA).
  • Converted the 3-D exhaustive search into three one-dimensional (1-D) searches for angles and range.
  • Employed a two-stage reduced-dimension method for angle estimation.
Keywords:
DOA estimationreduced-dimension MUSIC (RD-MUSIC)sparse symmetric cross arraythree-dimensional (3-D) source localization

More Related Videos

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.6K
Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.2K

Related Experiment Videos

Last Updated: Sep 5, 2025

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis
05:41

Author Spotlight: Integrating Ultrasound Imaging with Biochemical Markers for Thyroid Disease Diagnosis

Published on: February 9, 2024

724
A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
14:19

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space

Published on: February 1, 2016

8.6K
Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels
08:19

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

1.2K

Main Results:

  • The proposed RD-MUSIC algorithm demonstrates performance comparable to RARE-MUSIC and 3D-MUSIC.
  • Achieved significantly lower computational complexity compared to existing methods.
  • Complexity analysis confirmed the practical advantages of the RD-MUSIC algorithm.

Conclusions:

  • The RD-MUSIC algorithm offers an efficient solution for 3-D source localization.
  • The SSCA-based RD-MUSIC provides a practical and computationally advantageous alternative for high-performance localization systems.