| 基于delta-sigma调制和复值神经网络均衡的有限带宽亚太赫兹1024-QAM传输 |
| 投稿时间：2024-09-09 修订日期：2024-12-27 点此下载全文 |
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| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 中文摘要:太赫兹波(THz-wave)技术由于频谱资源的丰富，在下一代无线通信中有着巨大的潜力。虽然基于电子设备的系统结构简单、易于集成，但生成太赫兹波的设备带宽非常有限，限制了系统吞吐量的增长，而频谱充足的光子辅助太赫兹波系统则价格昂贵且结构复杂。因此，文章提出了一种使用delta-sigma调制（DSM）的太赫兹波系统，以有效提高适应于带宽不足的电子设备的频谱效率，并且成功地实验演示了1024-QAM太赫兹波传输系统。此外，受到DSM解调中快速误差传播的启发，文章提出了将数字信号处理（DSP）与复值神经网络（CVNN）相结合的方法，以提高1024-QAM信号的误码率（BER）性能，在BER软判决为2×10-2时获得了0.5 dB的接收机灵敏度改善。 |
| 中文关键词:太赫兹波系统 delta-sigma调制 复值神经网络 |
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| Sub-THz 1024-QAM transmission with Electrical Bandwidth Limited devices using Delta-sigma Modulation and Complex Value Neural Network |
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| Abstract:Terahertz wave (THz-wave) technologies are promising in the next generations of wireless communications due to the abundant spectrum resources. Although the electrical-device-based systems have simple structures and are easy to integrate, the devices used to generate the THz-wave have very limited bandwidth, hindering the growth of the system throughput, while the spectrum-adequate photonics-aided THz-wave systems are costly and complicated. Therefore, in this work, we propose a THz-wave system with delta-sigma modulation (DSM) to effectively increase the spectrum efficiency that can adapt to insufficient-bandwidth electrical devices, and the 1024-QAM THz-wave transmission system is successfully experimentally demonstrated. Moreover, motivated by the rapid error propagation of DSM demodulation, we propose a combination of digital signal processing (DSP) with complex value neural network (CVNN) to improve the BER performance of 1024-QAM signal, obtaining a 0.5-dB receiver sensitivity improvement at the BER soft-decision of 2×10-2. |
| keywords:Terahertz wave system,delta-sigma modulation,complex value neural network |
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