Article, 2024

Space-Time-Coding Digital Metasurface Element Design Based on State Recognition and Mapping Methods With CNN-LSTM-DNN

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, ISSN 0018-926X, Volume 72, 6, Pages 4962-4975, 10.1109/TAP.2024.3349778

Contributors

Wang, Peng 0009-0001-4653-5823 [1] Li, Zhenning 0000-0002-7770-6867 [2] [3] Wei, Zhaohui 0000-0002-9513-3089 [1] Wu, Tong [4] Luo, Chao 0000-0001-7863-0545 [2] [3] Jiang, Wen [5] Hong, Tao 0000-0003-4310-6502 [5] Pedersen, Gert F 0000-0002-6570-7387 [1] Shen, Ming 0000-0002-9388-3513 (Corresponding author) [1]

Affiliations

  1. [1] Aalborg Univ, Dept Elect Syst, DK-9220 Aalborg, Denmark
    2. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  2. [2] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
    3. [NORA names: China; Asia, East];
  3. [3] Chinese Acad Sci, Aerosp Informat Res Inst, Beijing 100094, Peoples R China
    4. [NORA names: China; Asia, East];
  4. [4] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou 310027, Peoples R China
    5. [NORA names: China; Asia, East];
  5. [5] Xidian Univ, Natl Key Lab Antennas & Microwave Technol, Xian 710071, Peoples R China
    6. [NORA names: China; Asia, East]

Abstract

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Keywords

Convolutional neural network (CNN)-long short-term memory (LSTM)-deep neural network (DNN), digital metasurface, space-time-coding, state mapping, state recognition

Data Provider: Clarivate

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