空间光通信具有保密性好,信息容量大,抗干扰能力强等优点,是现代通信系统研究的热点之一。脉冲位置调制(pulse position modulation,PPM)是空间光通信系统中一种性能优良的调制方式。针对空间光通信系统中信息传输速率低,设计了一种改进...空间光通信具有保密性好,信息容量大,抗干扰能力强等优点,是现代通信系统研究的热点之一。脉冲位置调制(pulse position modulation,PPM)是空间光通信系统中一种性能优良的调制方式。针对空间光通信系统中信息传输速率低,设计了一种改进的"空-空-零"的物理帧格式,以提高空间光通信系统的传输速率。针对实际空间激光数字接收机,深入开展了帧同步算法设计研究。结合设计的物理帧格式,重点研究了帧同步算法的设计,为了应对噪声等参数的变化,提出自适应相关阈值设置;考虑到工程实现,提出了一种相关滤波简化实现方法等。最后,基于FPGA完成了接收机原型系统设计,经Matlab仿真、在线仿真以及实际测试表明了该设计方案的正确性和可靠性。展开更多
To improve the accuracy of modulated signal recognition in variable environments and reduce the impact of factors such as lack of prior knowledge on recognition results,researchers have gradually adopted deep learning...To improve the accuracy of modulated signal recognition in variable environments and reduce the impact of factors such as lack of prior knowledge on recognition results,researchers have gradually adopted deep learning techniques to replace traditional modulated signal processing techniques.To address the problem of low recognition accuracy of the modulated signal at low signal-to-noise ratios,we have designed a novel modulation recognition network of multi-scale analysis with deep threshold noise elimination to recognize the actually collected modulated signals under a symmetric cross-entropy function of label smoothing.The network consists of a denoising encoder with deep adaptive threshold learning and a decoder with multi-scale feature fusion.The two modules are skip-connected to work together to improve the robustness of the overall network.Experimental results show that this method has better recognition accuracy at low signal-to-noise ratios than previous methods.The network demonstrates a flexible self-learning capability for different noise thresholds and the effectiveness of the designed feature fusion module in multi-scale feature acquisition for various modulation types.展开更多
文摘空间光通信具有保密性好,信息容量大,抗干扰能力强等优点,是现代通信系统研究的热点之一。脉冲位置调制(pulse position modulation,PPM)是空间光通信系统中一种性能优良的调制方式。针对空间光通信系统中信息传输速率低,设计了一种改进的"空-空-零"的物理帧格式,以提高空间光通信系统的传输速率。针对实际空间激光数字接收机,深入开展了帧同步算法设计研究。结合设计的物理帧格式,重点研究了帧同步算法的设计,为了应对噪声等参数的变化,提出自适应相关阈值设置;考虑到工程实现,提出了一种相关滤波简化实现方法等。最后,基于FPGA完成了接收机原型系统设计,经Matlab仿真、在线仿真以及实际测试表明了该设计方案的正确性和可靠性。
基金Project supported by the National Key R&D Program of China(No.2020YFF01015000ZL)the Fundamental Research Funds for the Central Universities,China(No.3072022CF0806)。
文摘To improve the accuracy of modulated signal recognition in variable environments and reduce the impact of factors such as lack of prior knowledge on recognition results,researchers have gradually adopted deep learning techniques to replace traditional modulated signal processing techniques.To address the problem of low recognition accuracy of the modulated signal at low signal-to-noise ratios,we have designed a novel modulation recognition network of multi-scale analysis with deep threshold noise elimination to recognize the actually collected modulated signals under a symmetric cross-entropy function of label smoothing.The network consists of a denoising encoder with deep adaptive threshold learning and a decoder with multi-scale feature fusion.The two modules are skip-connected to work together to improve the robustness of the overall network.Experimental results show that this method has better recognition accuracy at low signal-to-noise ratios than previous methods.The network demonstrates a flexible self-learning capability for different noise thresholds and the effectiveness of the designed feature fusion module in multi-scale feature acquisition for various modulation types.
