| 基于嵌入式硬件设计的卫星通信技术研究 |
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| 引用本文：马卓斌，金冰鑫，田甜，马文卓.基于嵌入式硬件设计的卫星通信技术研究[J].计算技术与自动化,2026,(1):183-188 |
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| 中文摘要:为提高卫星通信终端系统的调制格式识别能力和抗噪性能，提出了一种基于改进型神经网络算法的卫星通信终端系统。该系统通过基带处理模块和射频模块，实现对接收信号的调制格式识别和去噪处理。基带处理模块采用改进型混合神经网络算法和门控神经单元算法，能有效识别接收信号的调制格式。射频模块采用小波分解和自适应阈值算法，实现对接收信号的高效去噪处理。同时，该系统还具有较强的抗干扰能力，提高了卫星通信终端系统的整体性能。经过实验，在光信噪比（OSNR）为10 dB的环境下，本文系统对于无线通信信号的调制格式识别准确率为100%；在光信噪比为30 dB时，本文系统对于卫星无线通信信号的调制格式识别准确率为97.9%，满足卫星通信终端对信号接收的需求。 |
| 中文关键词:调制格式识别 门控神经单元 自适应阈值算法 卫星通信终端 |
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| Research on Satellite Communication Technology Based on Embedded Hardware Design |
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| Abstract:To improve the modulation format recognition ability and noise resistance performance of satellite communication terminal systems, this paper proposes a satellite communication terminal system based on an improved neural network algorithm. This system achieves modulation format recognition and denoising processing of received signals through baseband processing modules and RF modules. The baseband processing module adopts an improved hybrid neural network algorithm and a gate controlled neural unit algorithm, which can effectively identify the modulation format of the received signal. The RF module adopts wavelet decomposition and adaptive threshold algorithm to achieve efficient denoising processing of the received signal. At the same time, the system also has strong anti-interference ability, which improves the overall performance of the satellite communication terminal system. After testing, the system achieved an accuracy of 100% in identifying modulation formats for wireless communication signals in an environment with an optical signal-to-noise ratio of 10 dB. At an optical signal-to-noise ratio of 30 dB, the system achieved an accuracy of 97.9% in identifying modulation formats for satellite wireless communication signals, meeting the signal reception requirements of satellite communication terminals. |
| keywords:modulation format recognition gate controlled neural unit adaptive threshold algorithm satellite communication terminal |
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