Laser & Optoelectronics Progress, Volume. 60, Issue 9, 0906001(2023)

Transmission Performance Analysis of Terahertz Signal Based on Hybrid Shaping Circular Quadrature Amplitude Modulation

Xiao Wang, Feng Zhao*, Bingyao Tian, Zhao Meng, Xiongwei Yang, and Linxian Zhao
Author Affiliations
  • School of Electronic Engineering, Xi'an University of Posts and Telecommunications, Xi'an 710121, Shaanxi, China
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    A circular quadrature amplitude modulation based on probability-geometric hybrid shaping (PS-GS-Cir-MQAM) vector terahertz (THz) signal transmission scheme is proposed to improve the transmission performance of a radio-over-fiber (ROF) transmission system. The transmission performance of the 130 GHz band PS-GS-Cir-MQAM signal in an RoF system with an intensity modulator (IM) and in-phase/quadrature (I/Q) modulator cascaded is analyzed via co-simulation in Matlab and VPI, and the signal transmission performance is compared and analyzed. The improvement effect of different shaping methods on the error code performance is evaluated. The results show that the error performance of the proposed PS-GS-Cir-MQAM THz signal is better than those of the other three shaping formats. Among them, the PS-GS-Cir-32QAM THz signal shows the most significant improvement in error performance. Compared with the other three shaping formats, the signal power gain increases by 0.88, 1.4, and 2.48 dB,respectively. The proposed hybrid shaping-based vector THz signal is advantageous in terms of transmission; specifically, it overcomes the nonlinear effects of optical devices and optical fibers.

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    Xiao Wang, Feng Zhao, Bingyao Tian, Zhao Meng, Xiongwei Yang, Linxian Zhao. Transmission Performance Analysis of Terahertz Signal Based on Hybrid Shaping Circular Quadrature Amplitude Modulation[J]. Laser & Optoelectronics Progress, 2023, 60(9): 0906001

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    Paper Information

    Category: Fiber Optics and Optical Communications

    Received: Jan. 10, 2022

    Accepted: Mar. 3, 2022

    Published Online: Apr. 24, 2023

    The Author Email: Zhao Feng (hfengzhao@xupt.edu.cn)

    DOI:10.3788/LOP220485

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