Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Application of Linearization and Approximation

Application of Linearization and Approximation

A drone flying through complex terrain often relies on more than one sensing method to estimate small changes in altitude. Along with direct measurements, air pressure provides a useful indirect indicator of vertical movement. Atmospheric pressure decreases as altitude increases, and this relationship is commonly described using an exponential model. Although accurate, converting pressure measurements into altitude values requires calculations that are too complex to perform repeatedly during...

Measurement of Fluid Pressure

Measurement of Fluid Pressure

Fluid pressure is commonly measured using devices called manometers, which rely on liquid columns to indicate pressure differences. The height of a liquid column in a manometer reflects the pressure exerted by the fluid, providing a simple yet effective means of measurement. Different types of manometers serve specific purposes based on their configurations and the type of fluids involved.
A basic form of manometer is the piezometer, a vertical tube open at the top and filled with the same...

Precipitation Gravimetry

Precipitation Gravimetry

Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...

You might also read

Related Articles

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

Sort by

Same author

The complete mitochondrial genome of Graphium chironides (Lepidoptera: Papilionidae: Papilioninae).

Mitochondrial DNA. Part A, DNA mapping, sequencing, and analysis·2015

Same author

Complete mitochondrial genome of the Endangered Narrow Sawfish Anoxypristis cuspidata (Rajiformes: Pristidae).

Mitochondrial DNA. Part A, DNA mapping, sequencing, and analysis·2015

Same author

Processing of the explanted heart.

North American journal of medical sciences·2015

Same author

Clinical significance of periodic detection of hepatitis B virus YVDD mutation by ultrasensitive real-time amplification refractory mutation system quantitative PCR during lamivudine treatment in patients with chronic hepatitis B.

Journal of medical microbiology·2015

Same author

Differences in the distribution, phenotype and gene expression of subretinal microglia/macrophages in C57BL/6N (Crb1 rd8/rd8) versus C57BL6/J (Crb1 wt/wt) mice.

Journal of neuroinflammation·2015

Same author

Effect of continuous positive airway pressure on insulin growth factor-1 in patients with obstructive sleep apnea: a meta-analysis.

Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society·2015

Search research articles

Related Experiment Video

Updated: Feb 28, 2026

The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe

The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe

Published on: December 3, 2016

High-Resolution Azimuth Estimation Method Based on a Pressure-Gradient MEMS Vector Hydrophone.

Xiao Chen¹, Ying Zhang², Yujie Chen³

¹Information Science and Technology College, Dalian Maritime University, Dalian 116026, China.

|February 27, 2026

Summary

A new method uses a pressure-gradient Micro-Electro-Mechanical Systems (MEMS) vector hydrophone and an improved particle swarm optimization (IPSO) algorithm for precise underwater target localization. This approach significantly enhances azimuth estimation accuracy and system robustness in marine environments.

Keywords:

azimuth estimation high-resolution improved particle swarm optimization (IPSO)pressure-gradient MEMS vector hydrophone underwater acoustic sensor

More Related Videos

Author Spotlight: Integration of Fiber Photometry and Focused Ultrasound Neuromodulation for Investigating Neural Modulation in Freely Moving Mice

Author Spotlight: Integration of Fiber Photometry and Focused Ultrasound Neuromodulation for Investigating Neural Modulation in Freely Moving Mice

Published on: September 6, 2024

Blast Quantification Using Hopkinson Pressure Bars

Blast Quantification Using Hopkinson Pressure Bars

Published on: July 5, 2016

Related Experiment Videos

Last Updated: Feb 28, 2026

The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe

The Measurement of Unsteady Surface Pressure Using a Remote Microphone Probe

Published on: December 3, 2016

Author Spotlight: Integration of Fiber Photometry and Focused Ultrasound Neuromodulation for Investigating Neural Modulation in Freely Moving Mice

Author Spotlight: Integration of Fiber Photometry and Focused Ultrasound Neuromodulation for Investigating Neural Modulation in Freely Moving Mice

Published on: September 6, 2024

Blast Quantification Using Hopkinson Pressure Bars

Blast Quantification Using Hopkinson Pressure Bars

Published on: July 5, 2016

Area of Science:

Acoustics and Signal Processing
Marine Technology
Sensor Systems

Background:

Conventional azimuth estimation methods using single pressure-gradient Micro-Electro-Mechanical Systems (MEMS) vector hydrophones face limitations in achieving high-resolution localization.
Existing algorithms like Multiple Signal Classification (MUSIC) and Complex Acoustic Intensity (CAI) suffer from performance degradation and high-resolution thresholds in practical marine settings.

Purpose of the Study:

To develop a high-resolution azimuth estimation method for pressure-gradient MEMS vector hydrophones.
To address the limitations of conventional methods in complex marine environments and improve underwater detection capabilities.

Main Methods:

Established a cross-spectral model between acoustic pressure and particle velocity for the MEMS vector hydrophone.
Integrated an improved particle swarm optimization (IPSO) algorithm for azimuth estimation.
Derived the Cramér-Rao Bound for performance analysis.

Main Results:

The proposed algorithm accurately resolved two targets separated by 5° at a low SNR of 5 dB, with a root mean square error of ~0.35° and 100% success rate.
Demonstrated a lower resolution threshold and higher estimation accuracy compared to CAI and MUSIC algorithms.
Validated high-resolution performance through simulations and field tests in actual seawater environments.

Conclusions:

The proposed IPSO-integrated method offers a robust and accurate solution for high-resolution azimuth estimation using MEMS vector hydrophones.
The algorithm's low computational complexity enables efficient real-time processing for underwater detection.
This advancement holds significant potential for multi-target scenarios in complex marine settings, enhancing system robustness.