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Intelligent and Reliable Deep Learning LSTM Neural Networks-Based OFDM-DCSK Demodulation Design

  • 【作者】Lin Zhang,Haotian Zhang,Yuan Jiang,Zhiqiang Wu
  • 【作者单位】1 School of Electronics, and Information Technology, Sun Yat-sen University, Guangzhou, China 2 Department of Science, and Technology of Guangdong Province, Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China 3 Naihai Research Institute, Sun Yat-sen University, Guangzhou, China 4 Department of Electrical Engineering, Tibet University, Lhasa, China 5 Wright State University, Dayton, OH, USA
  • 【年份】2020
  • 【卷号】Vol.69 No.12
  • 【页码】16163-16167
  • 【ISSN】0018-9545;1939-9359
  • 【关键词】Chaotic communication Demodulation Reliability Binary phase shift keying Feature extraction Training OFDM Bit error rate deep learning long short-term memory network orthogonal frequency division multiplexing-aided differential chaos shift keying reliability 
  • 【摘要】 Chaos communications have widely been applied to provide secure, and anti-jamming transmissions by exploiting the irregular chaotic behavior. However, the real-valued chaotic sequences imposed on the information induce interferences to the user data,...
  • 【文献类型】 期刊
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