Application of particle swarm optimization method to incoherent scatter radar measurement of ionosphere parameters-Reference-Cited by-同舟云学术

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Application of particle swarm optimization method to incoherent scatter radar measurement of ionosphere parameters

Published:2015-09 Issue:9 Volume:120 Page:8096-8110
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Wu Li‐Li¹,Zhou Qihou H.²,Chen Tie‐Jun¹,Liang J. J.¹,Wu Xin³

Affiliation:

1. School of Electrical Engineering Zhengzhou University Zhengzhou China

2. Department of Electrical and Computer Engineering Miami University Oxford Ohio USA

3. Department of Electronics Engineering Zhengzhou Railway Vocational and Technical College Zhengzhou China

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/2014JA020970

Reference22 articles.

1. Molecular ion composition measurements in theF1 region at Arecibo

2. Research and Analysis on Ionospheric Composition Based on Particle Swarm Optimization

3. Incoherent scatter radar study of the terdiurnal tide in the E- and F-region heights at Arecibo

4. Midnight ionosphere collapse at Arecibo and its relationship to the neutral wind, electric field, and ambipolar diffusion

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1. Uniform Initialization in Response Space for PSO and its Applications;Applied Mathematics and Computation;2022-10

2. Performance evaluation of the particle swarm optimization algorithm to unambiguously estimate plasma parameters from incoherent scatter radar signals;Earth, Planets and Space;2020-11-09

3. Determination of the Signal Fluctuation Threshold of the Temperature-Ion Composition Ambiguity Problem Using Monte Carlo Simulations;Journal of Geophysical Research: Space Physics;2019-04

4. Inversion of Disturbed Electron Temperature by Anomalous Incoherent Scatter Spectra with Pure-growth Mode Line;J ELECTRON INF TECHN;2018

5. Combining ionic liquid-based electrolytes and nanostructured anatase TiO2 anodes for intrinsically safer sodium-ion batteries;Electrochimica Acta;2016-06

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