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Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 – December 1, 2019, Proceedings, Part I

Research Article

Mode Identification of OAM with Compressive Sensing in the Secondary Frequency Domain

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  • @INPROCEEDINGS{10.1007/978-3-030-41114-5_23,
        author={Jin Li and Chao Zhang},
        title={Mode Identification of OAM with Compressive Sensing in the Secondary Frequency Domain},
        proceedings={Communications and Networking. 14th EAI International Conference, ChinaCom 2019, Shanghai, China, November 29 -- December 1, 2019, Proceedings, Part I},
        proceedings_a={CHINACOM},
        year={2020},
        month={2},
        keywords={Orbital Angular Momentum Secondary frequency domain Compressive Sensing Analog-to-Information Converter OAM multiplexing Mode detection and identification},
        doi={10.1007/978-3-030-41114-5_23}
    }
    
  • Jin Li
    Chao Zhang
    Year: 2020
    Mode Identification of OAM with Compressive Sensing in the Secondary Frequency Domain
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-41114-5_23
Jin Li1, Chao Zhang1,*
  • 1: Labs of Avionics, School of Aerospace Engineering, Tsinghua University
*Contact email: zhangchao@mail.tsinghua.edu.cn

Abstract

The Electro-Magnetic (EM) waves with Orbital Angular Momentum (OAM) can achieve high spectral efficiency by multiplexing different OAM modes. Different modes are mapped to the frequency shifts in the secondary frequency domain at the receiving end, in order to effectively identify the OAM modes received in partial phase plane. The traditional method requires high-speed acquisition equipment in the process of receiving Radio Frequency (RF) signals directly and its hardware cost is high. Even if analog devices are used for down-conversion to Intermediate Frequency (IF) sampling, the IF bandwidth limits the transmission rate. However, Compressive Sensing (CS) can break the Nyquist restriction by random observation, and is expected to realize the detection and identification of different OAM modes at a lower sampling rate, so that the cost is low. Therefore, this paper proposes an OAM mode identification method based on CS. At the same time, the random sampling is carried out based on the existing hardware device, i.e. Analog-to-Information Converter (AIC), to realize the OAM modes identification with the low sampling rate. The simulation results verify the correctness and effectiveness of the method.

Keywords
Orbital Angular Momentum Secondary frequency domain Compressive Sensing Analog-to-Information Converter OAM multiplexing Mode detection and identification
Published
2020-02-27
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-41114-5_23
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