Three-Dimensional Data Compression and Fast High-Quality Reconstruction for Phased Array Weather Radar

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2020/01/01

タイトル(英語): Three-Dimensional Data Compression and Fast High-Quality Reconstruction for Phased Array Weather Radar

著者名: Ryosuke Kawami (Graduate School of Information Science and Engineering, Ritsumeikan University), Daichi Kitahara (Graduate School of Information Science and Engineering, Ritsumeikan University), Akira Hirabayashi (Graduate School of Information Science an

著者名(英語): Ryosuke Kawami (Graduate School of Information Science and Engineering, Ritsumeikan University), Daichi Kitahara (Graduate School of Information Science and Engineering, Ritsumeikan University), Akira Hirabayashi (Graduate School of Information Science and Engineering, Ritsumeikan University), Eiichi Yoshikawa (Aeronautical Technology Directorate, Japan Aerospace Exploration Agency), Hiroshi Kikuchi (Center for Space Science and Radio Engineering, The University of Electro-Communications), Tomoo Ushio (Division of Electrical, Electronic and Information Engineering, Osaka University)

キーワード: Phased array weather radar，data compression，compressed sensing，convex optimization，Nesterov's acceleration

要約(英語): This paper proposes a fast high-quality three-dimensional (3D) compressed sensing for a phased array weather radar (PAWR), which is capable of spatially and temporally high-resolution observation of the atmosphere. Because of the high-resolution, the PAWR generates huge observation data of approximately 500 megabytes every thirty seconds. To transfer this huge data in a public internet line for real time weather forecast, an efficient data compression technology is required. The proposed method compresses the PAWR data by randomly transferring several measurements only in the troposphere, and then reconstructs the missing measurements for each small 3D tensor data by minimizing a cost function based on a prior knowledge on weather phenomena. The minimizer of the cost function can be quickly computed by using a convex optimization algorithm with Nesterov's acceleration technique. Numerical simulations using real PAWR data show the effectiveness of the proposed method compared to conventional two-dimensional methods.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.140 No.1 （2020） 特集：電子回路関連技術

本誌掲載ページ: 40-48 p

原稿種別: 論文／英語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/140/1/140_40/_article/-char/ja/