第150回地球電磁気・地球惑星圏学会（SGEPSS）総会および講演会, 2021年10月31日-11月4

Abe  Shuji

Fujimoto Akiko

Ikeda  Akihiro

Mikuriya  Toru

Yoshikawa  Akimasa

Kyutacar : Kyushu Institute of Technology Academic Repository

Development of an autonomous FM-CW ionosphericobservation system based on reinforcementlearning著者 Mikuriya  Toru, Fujimoto Akiko, Abe  Shuji,Ikeda  Akihiro, Yoshikawa  Akimasapage range R010-19year 2021-10-25URL http://hdl.handle.net/10228/00009077R010-19Zoom meeting C：11/4 AM2 (10:45-12:30)11:15～11:30Development of an autonomous FM-CW ionospheric observation system based onreinforcement learning#Toru Mikuriya1),Akiko Fujimoto1),Shuji Abe2),Akihiro Ikeda3),Akimasa Yoshikawa4)(1Kyutech,(2ICSWSE, Kyushu Univ.,(3KNCT,(4ICSWSE/Kyushu Univ.Equatorial Plasma bubbles (EPBs) of the ionospheric irregularities are known to cause GPS positioning errors and radiowave propagation abnormalities. Recently, numerical experiments have advanced the understanding of the local generationmechanism of EPBs, but the development of environmental field controlling the generation and suppression of EPBs has notyet been fully clarified. This study aims to reveal observationally the structure and generation mechanism of environmentalfields in inner-magnetosphere and ionosphere that is linked to the development of EPBs.We focus on a three-dimensional coupling system of ionospheric E-F regions controlling equatorial jet current (EEJ)as a model that connects the pre-sunset EEJ, pre-reversal enhancement (PRE) at near sunset, and EPBs after sunset. Inorder to detect this coupling system, we have developed a multi-ionospheric observation project with FM-CW (FrequencyModulated Continuous Wave) radar, MAGDAS (MAGnetic Data Acquisition System) magnetometer network and SDR-based scintillation detector. The FM-CW radar has two kinds of observation modes: one is Ionosonde mode and the other isDoppler mode. FM-CW radar enables continuous multi-mode ionospheric observation by switching between the detection oftime evolution from PRE to plasma bubble by Ionosonde mode and the observation of F region electric field by Doppler mode.We have developed a new ”autonomous FM-CW control system” without the manual operation schedule. The new FM-CWsystem consists of the supervised machine learning and reinforcement learning by using several ionospheric disturbancetriggers. In the presentation, we will explain the new FM-CW control system and show the result of examination.

Development of an autonomous FM-CW ionospheric observation system based on reinforcement learning

https://kyutech.repo.nii.ac.jp/?action=repository_action_common_download&item_id=7874&item_no=1&attribute_id=17&file_no=1

Development of an autonomous FM-CW ionospheric observation system based on reinforcement learning

Abstract

Similar works

Full text

Available Versions

Kyutacar : Kyushu Institute of Technology Academic Repository