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篇名 |
Orbital Angular Momentum Mode Intelligent Identification in the Secondary Frequency Domain with Compressive Sensing
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並列篇名 | Orbital Angular Momentum Mode Intelligent Identification in the Secondary Frequency Domain with Compressive Sensing |
作者 | Chao Zhang、Jin Li、Yuanhe Wang |
英文摘要 | The Electro-Magnetic (EM) waves with Orbital Angular Momentum (OAM) can achieve the high spectral efficiency by multiplexing different OAM modes. In order to effectively identify the OAM modes received in the partial phase plane, different modes are mapped to the frequency shifts in the secondary frequency domain. The high-speed acquisition equipment is necessary for the traditional method in the process of receiving Radio Frequency (RF) or Intermediate Frequency (IF) signals, which suffers from a high cost. However, Compressive Sensing (CS) can break the Nyquist sampling restriction by random observation and is expected to build the relationship between the received signal and the frequency shift in the secondary frequency domain at a lower sampling rate, so that the cost is low. Moreover, due to the existence of the multipath effect, the transfer learning is employed to establish the spectrum-mode mapping, which further improves the Bit Error Rate (BER) performance and the transmission distance. Therefore, this paper proposes an intelligent OAM mode identification method based on CS and transfer learning. Meanwhile, the random sampling is carried out based on the Analog-to-Information Converter (AIC) to realize the OAM mode identification with the low sampling rate. The simulation results can verify the validity and efficiency of this method. |
起訖頁 | 1749-1759 |
關鍵詞 | Orbital angular momentum、Secondary frequency domain、Compressive sensing、Analog-to-information converter、Intelligent mode identification |
刊名 | 網際網路技術學刊 |
期數 | 202011 (21:6期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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