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

Glassware Calibration01:11

Glassware Calibration

1.3K
Accurate calibration of glassware, such as volumetric flasks, pipettes, and burettes, is essential to ensure accurate measurements in the analytical laboratory. Calibration helps maintain consistency across measurements and prevents errors arising from inaccurate volumes.
Volumetric flasks: Volumetric flasks are designed to prepare aqueous solutions of precise volumes accurately with a calibration line on the neck. To calibrate a volumetric flask, it is important to fill it with distilled...
1.3K
Instrument Calibration01:12

Instrument Calibration

690
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
690
Dose Size and Dosing Frequency: Determination Methods01:21

Dose Size and Dosing Frequency: Determination Methods

279
Determining the optimal dose size and dosing frequency in pharmacotherapy is crucial for achieving therapeutic effectiveness while minimizing adverse effects. This article explores the methodologies employed in determining these parameters, focusing on their significance and interplay to tailor dosing regimens.Dose Size: Dose size refers to the amount of a drug administered in a single dose. It is determined based on the drug's pharmacodynamics and pharmacokinetics properties and...
279
Frequency-dependent Selection01:21

Frequency-dependent Selection

23.1K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
23.1K
Plotting and Calibrating the Root Locus01:19

Plotting and Calibrating the Root Locus

448
Root loci often diverge as system poles shift from the real axis to the complex plane. Key points in this transition are the breakaway and break-in points, indicating where the root locus leaves and reenters the real axis. The branches of the root locus form an angle of 180/n degrees with the real axis, where n is the number of branches at a breakaway or break-in point.
The maximum gain occurs at the breakaway points between open-loop poles on the real axis, while the minimum gain is...
448
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

4.5K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Correlation study of infrapatellar fat pad EI in assessing clinical symptoms of knee osteoarthritis.

Scientific reports·2026
Same author

Advancing Greenhouse Tomato Quality: A Comprehensive Review of Recent Research.

Journal of agricultural and food chemistry·2026
Same author

Extracellular matrix stiffness drives post-mitotic nuclear pore complex assembly to promote neuroblastoma pathogenesis.

Cell reports·2026
Same author

Exogenous flavonols enhance drought tolerance by modulating guard cell reactive oxygen species homeostasis and ABA biosynthesis in peanut.

Plant physiology and biochemistry : PPB·2025
Same author

Melatonin Enhances Peanut Productivity by Enriching Root-Associated Nitrogen-Fixing Bacteria.

Journal of pineal research·2025
Same author

Light Regulation Under Equivalent Cumulative Light Integral: Impacts on Growth, Quality, and Energy Efficiency of Lettuce (<i>Lactuca sativa</i> L.) in Plant Factories.

Plants (Basel, Switzerland)·2025

Related Experiment Video

Updated: Jan 20, 2026

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

8.2K

An MIMO Radar System Based on the Sparse-Array and Its Frequency Migration Calibration Method.

Yue Ma1, Chen Miao2, Yangying Zhao1

  • 1Ministerial Key Laboratory of JGMT, Nanjing University of Science and Technology, Xiao Ling Wei200#, Nanjing 210094, China.

Sensors (Basel, Switzerland)
|August 21, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a sparse-array Multiple Input Multiple Output (MIMO) radar system. A novel stretching transformation method significantly improves direction-of-arrival (DOA) estimation accuracy by eliminating frequency migration in moving targets.

Keywords:
DOAMIMOSparse-arrayTDMfrequency migrationtime stretching transform

More Related Videos

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

22.5K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.9K

Related Experiment Videos

Last Updated: Jan 20, 2026

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

8.2K
Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels
10:00

Calibration of Vector Network Analyzer for Measurements in Radio Frequency Propagation Channels

Published on: June 2, 2020

22.5K
Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
11:41

Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

Published on: February 1, 2020

20.9K

Area of Science:

  • Radar Systems Engineering
  • Signal Processing
  • Array Antenna Design

Background:

  • Traditional Multiple Input Multiple Output (MIMO) radar systems face challenges with side-lobe levels and system complexity.
  • Existing systems struggle with direction-of-arrival (DOA) performance degradation due to frequency migration in moving targets, especially when using time-division multiplexing (TDM).

Purpose of the Study:

  • To propose a novel sparse-array MIMO radar system.
  • To optimize array arrangement using a genetic algorithm (GA) for reduced side-lobe levels.
  • To develop a method for eliminating frequency migration and improving DOA estimation accuracy for moving targets.

Main Methods:

  • Utilizing a sparse-array configuration optimized by a genetic algorithm (GA).
  • Implementing time-division multiplexing (TDM) to reduce system complexity.
  • Applying a stretching transformation in the fast-frequency slow-time domain to mitigate frequency migration.

Main Results:

  • The proposed stretching transformation method effectively eliminates frequency migration, enhancing DOA performance.
  • A significant reduction in the root-mean-square error (RMSE) of DOA estimation (approximately 90%) compared to uncalibrated systems.
  • Demonstrated capability to achieve equivalent DOA performance with fewer receivers (e.g., 12 vs. 20 in a ULA MIMO system).

Conclusions:

  • The developed sparse-array MIMO radar system with stretching transformation offers a robust solution for accurate DOA estimation of moving targets.
  • The system provides a more efficient alternative to traditional ULA MIMO systems, reducing hardware requirements.
  • Simulation results for automotive radar applications validate the effectiveness of the proposed methods.