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

Direction Cosines of a Vector01:29

Direction Cosines of a Vector

729
Direction cosines, which help describe the orientation of a vector with respect to the coordinate axes, are an essential concept in the field of vector calculus. Consider vector A that is expressed in terms of the Cartesian vector form using i, j, and k unit vectors. The magnitude of vector A is defined as the square root of the sum of the squares of its components. The direction of this vector with respect to the x, y, and z axes is defined by the coordinate direction angles α, β, and γ,...
729
Non-uniform Circular Motion01:22

Non-uniform Circular Motion

7.9K
In uniform circular motion, the particle executing circular motion has a constant speed, and the circle is at a fixed radius. However, not all circular motion occurs at a constant speed. A particle can travel in a circle and speed up or slow down, showing an acceleration in the direction of motion. In that case, the motion is called non-uniform circular motion, and an additional acceleration is introduced, which is in the direction tangential to the circle. 
For example, such...
7.9K
Beams with Symmetric Loadings01:15

Beams with Symmetric Loadings

255
The moment-area method is an analytical tool used in structural engineering to determine the slope and deflection of beams under various loads. Consider a cantilever with a concentrated load and moment at the free end. The first step is constructing a free-body diagram to calculate the reactions at the fixed end. Next, the bending moment diagram is plotted to visualize how the bending moment varies along the beam's length, focusing on points where the bending moment equals zero.
The M/EI...
255
Beams with Unsymmetric Loadings01:17

Beams with Unsymmetric Loadings

172
Analyzing a supported beam under unsymmetrical loadings is essential in structural engineering to understand how beams respond to varied force distributions. This analysis involves calculating the deflection and identifying points where the slope of the beam is zero, which are crucial for ensuring structural stability and functionality.
The first moment-area theorem determines the slope at any point on the beam. This theorem indicates that the change in slope between two points on a beam...
172
Direction of Acceleration Vectors01:10

Direction of Acceleration Vectors

11.6K
Acceleration occurs when velocity changes in magnitude (an increase or decrease in speed), direction, or both. Although acceleration is in the direction of the change in velocity, it is not always in the direction of motion. When an object slows down, its acceleration is opposite to the direction of its motion. This is commonly referred to as deceleration. However, the term deceleration can cause confusion in analysis because it is not a vector; it does not point to a specific direction with...
11.6K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

756
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
756

You might also read

Related Articles

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

Sort by
Same author

Design and Optimization of SAR Signal Array Receiving Based on MOEA/D-HPSO.

Sensors (Basel, Switzerland)·2026
Same author

Liver transplantation promotes early neural reorganization in minimal hepatic encephalopathy: a longitudinal resting state fMRI study.

Metabolic brain disease·2026
Same author

A novel automatic modulation recognition algorithm for OFDM signals based on FAFT.

Scientific reports·2026
Same author

Severe hyperbilirubinemia secondary to ECMO in a ARDS patient: a case report.

Frontiers in medicine·2026
Same author

Association between three lipid-lowering drugs and amnesia: a real-world pharmacovigilance study.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Relationship between nine triglyceride-glucose-related indices and cardiometabolic multimorbidity incidence in patients with cardiovascular-kidney-metabolic syndrome stage 0-3: a nationwide prospective cohort study.

Cardiovascular diabetology·2026
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: Sep 26, 2025

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

Gridless Underdetermined Direction of Arrival Estimation in Sparse Circular Array Using Inverse Beamspace

Ye Tian1,2, Yonghui Huang1,2, Xiaoxu Zhang1,2

  • 1National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.

Sensors (Basel, Switzerland)
|April 23, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for underdetermined direction-of-arrival (DOA) estimation using sparse circular arrays (SCA). The GSCA algorithm effectively estimates more signals than sensors, even with sensor failures.

Keywords:
DOA estimationGLSSCAUCAbeamspacegridlessunderdetermined

More Related Videos

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
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
10:39

Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

Published on: October 11, 2016

9.8K

Related Experiment Videos

Last Updated: Sep 26, 2025

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
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
Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating
10:39

Measurement of X-ray Beam Coherence along Multiple Directions Using 2-D Checkerboard Phase Grating

Published on: October 11, 2016

9.8K

Area of Science:

  • Array Signal Processing
  • Electromagnetics and Electromagnetic Waves

Background:

  • Underdetermined Direction-of-Arrival (DOA) estimation, where the number of sources exceeds the number of sensors, presents significant challenges in array signal processing.
  • Existing methods often struggle with accuracy and robustness in such scenarios.

Purpose of the Study:

  • To propose a novel algorithm, named GSCA, for underdetermined DOA estimation specifically designed for Sparse Circular Arrays (SCA).
  • To address the limitations of current DOA estimation techniques in complex array configurations and underdetermined conditions.

Main Methods:

  • Formulating the underdetermined DOA estimation problem as a matrix completion task.
  • Employing an inverse beamspace transformation combined with the Gridless SPICE (GLS) algorithm for covariance matrix completion.
  • Utilizing the Root-MUSIC algorithm to solve a polynomial equation for DOA determination.

Main Results:

  • Monte Carlo simulations validate the GSCA algorithm's effectiveness in underdetermined DOA estimation for SCA.
  • Spatial spectrum plots and Root Mean Square Error (RMSE) curves demonstrate reasonable performance.
  • The algorithm shows robustness and adaptability to various SCA configurations and even performs well in Uniform Circular Arrays (UCA) with random sensor failures.

Conclusions:

  • The proposed GSCA algorithm offers a viable solution for underdetermined DOA estimation in Sparse Circular Arrays.
  • GSCA demonstrates strong performance and robustness, outperforming existing methods in challenging scenarios.
  • The algorithm's applicability extends to Uniform Circular Arrays, particularly in the presence of sensor failures, highlighting its practical utility.