A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direc...A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direct detection channel performance using eye diagram measurements.Experimental results show that the proposed technique can achieve a high accuracy in jointly monitoring modulation format,probabilistic shaping,roll-off factor,baud rate,optical signal-to-noise ratio,and chromatic dispersion.The designed VGG-based CNN model outperforms the other four traditional machine-learning methods in different scenarios.Furthermore,the multitask learning model combined with MobileNet CNN is designed to improve the flexibility of the network.Compared with the designed VGG-based CNN,the MobileNet-based MTL does not need to train all the classes,and it can simultaneously monitor single parameter or multiple parameters without sacrificing accuracy,indicating great potential in various monitoring scenarios.展开更多
针对多电平移相全数字发信机(All Digital Transmitter,ADTx)架构中脉冲波形幅度不平衡误差问题,开展了误差机理分析和数值仿真研究。提出了一个基于ADTx硬件电路不理想性引起的脉冲幅度不平衡误差非线性失真模型,并推导分析了脉冲幅度...针对多电平移相全数字发信机(All Digital Transmitter,ADTx)架构中脉冲波形幅度不平衡误差问题,开展了误差机理分析和数值仿真研究。提出了一个基于ADTx硬件电路不理想性引起的脉冲幅度不平衡误差非线性失真模型,并推导分析了脉冲幅度不平衡误差对输出信号时域波形的畸变机制。通过数值仿真研究了脉冲幅度不平衡误差对发信机线性性能的影响。实验结果表明,脉冲幅度不平衡误差会显著恶化误差矢量幅度(Error Vector Magnitude,EVM)、邻信道功率比(Adjacent Channel Power Ratio,ACPR)以及三次谐波抑制性能等关键性能指标。深入分析该幅度不平衡误差对于准确评估并消除误差、提升多电平ADTx系统性能具有重要的理论和实践意义。展开更多
To boost the performance of 4-ary pulse amplitude modulated(PAM) at low signal-to-noise ratio(SNR), bistable stochastic resonance(BSR) system is introduced into digital communications system and get a reliable signal ...To boost the performance of 4-ary pulse amplitude modulated(PAM) at low signal-to-noise ratio(SNR), bistable stochastic resonance(BSR) system is introduced into digital communications system and get a reliable signal detection scheme. In this paper, we first analyse BSR system for different amplitudes of 4-ary PAM signals. The steadystate of the bistable system will be statistically distinct, and the feasibility of the proposed detection scheme is confirmed. On this basis, we present a detailed study on steady-state transitions of the BSR system, and an explicit expression of the bistable system parameters is derived. By setting the bistable system parameters, bistable system, 4-ary PAM signal, and noise reach the resonance state, and the BSR-based detection scheme is implemented. Moreover, we derive an analytical expression to calculate the symbol error rate(SER) of 4-ary PAM signals with the BSR-based detection under additive white Gaussian noise(AWGN). Finally, the simulation results validate that BSR-based detection scheme can improve the detection performance while efficiently reducing the symbol error rate.展开更多
基金supported by the National Key Research and Development Program of China (Grant No.2019YFB1803700)the Key Technologies Research and Development Program of Tianjin (Grant No.20YFZCGX00440).
文摘A designed visual geometry group(VGG)-based convolutional neural network(CNN)model with small computational cost and high accuracy is utilized to monitor pulse amplitude modulation-based intensity modulation and direct detection channel performance using eye diagram measurements.Experimental results show that the proposed technique can achieve a high accuracy in jointly monitoring modulation format,probabilistic shaping,roll-off factor,baud rate,optical signal-to-noise ratio,and chromatic dispersion.The designed VGG-based CNN model outperforms the other four traditional machine-learning methods in different scenarios.Furthermore,the multitask learning model combined with MobileNet CNN is designed to improve the flexibility of the network.Compared with the designed VGG-based CNN,the MobileNet-based MTL does not need to train all the classes,and it can simultaneously monitor single parameter or multiple parameters without sacrificing accuracy,indicating great potential in various monitoring scenarios.
文摘采用基于软判决和硬判决的方法,对跳时脉冲位置调制(time hopping-pulse position modulation,TH-PPM)和跳时脉冲幅度调制(time hopping-pulse amplitude modulation,TH-PAM)超宽带系统的误比特率性能进行了分析和比较.在加性高斯白噪声(additive white Gausses noise,AWGN)信道下,研究了TH-PPM和TH-PAM超宽带单用户系统接收端信号进行软判决和硬判决时的性能,同时分析比较系统在两种调制方式下采用不同脉冲重复次数时的性能差异.仿真结果表明,在AWGN信道下,TH-PPM和TH-PAM的系统性能均随脉冲重复次数的增加而明显改善,并且后者优于前者.此外,采用软判决时的系统性能优于采用硬判决时的系统性能.
文摘针对多电平移相全数字发信机(All Digital Transmitter,ADTx)架构中脉冲波形幅度不平衡误差问题,开展了误差机理分析和数值仿真研究。提出了一个基于ADTx硬件电路不理想性引起的脉冲幅度不平衡误差非线性失真模型,并推导分析了脉冲幅度不平衡误差对输出信号时域波形的畸变机制。通过数值仿真研究了脉冲幅度不平衡误差对发信机线性性能的影响。实验结果表明,脉冲幅度不平衡误差会显著恶化误差矢量幅度(Error Vector Magnitude,EVM)、邻信道功率比(Adjacent Channel Power Ratio,ACPR)以及三次谐波抑制性能等关键性能指标。深入分析该幅度不平衡误差对于准确评估并消除误差、提升多电平ADTx系统性能具有重要的理论和实践意义。
文摘高阶脉冲幅度调制(Pulse Amplitude Modulation,PAM)方式在相同码元内可以传输更多比特信息,进一步提升了通信系统的调制效率和频带利用率。但高阶PAM调制系统的抗噪声性能较差,信号振幅在传输过程中易受信道衰减的影响。为了提升高阶PAM系统的可靠性,提出一种改进的PAM码元波形结构,改进方案使系统在相同信噪和调制阶数下误码率降低。将TMS32C6748浮点型数字信号处理器(Digital Signal Processing,DSP)作为光通信系统的控制芯片,设计并实现了基于高阶PAM室内的可见光通信系统。通过搭建实验平台验证了该方案下的系统通信性能,实验结果表明该通信系统具有误码率低、调制效率高等优点,满足高性能室内可见光通信系统的要求。
基金supported by the National Natural Science Foundation of China (61631015, 61501354, 61501356, and 61573202)the Fundamental Research Funds of the Ministry of Education (7215433803)+5 种基金the Foundation of State Key Laboratory of Integrated Services Networks (ISN1101002)Higher School Subject Innovation Engineering Plan (B08038)Science and Technology Innovation Team Key Plan of Shaanxi Province (2016KCT-01)The Fundamental Research Funds of the Ministry of Education, China (Grant No. JB160101)The Key Laboratory Foundation of Ministry of Industry and Information Technology (KF20181912)China Postdoctoral Science Foundation (2018M631122)
文摘To boost the performance of 4-ary pulse amplitude modulated(PAM) at low signal-to-noise ratio(SNR), bistable stochastic resonance(BSR) system is introduced into digital communications system and get a reliable signal detection scheme. In this paper, we first analyse BSR system for different amplitudes of 4-ary PAM signals. The steadystate of the bistable system will be statistically distinct, and the feasibility of the proposed detection scheme is confirmed. On this basis, we present a detailed study on steady-state transitions of the BSR system, and an explicit expression of the bistable system parameters is derived. By setting the bistable system parameters, bistable system, 4-ary PAM signal, and noise reach the resonance state, and the BSR-based detection scheme is implemented. Moreover, we derive an analytical expression to calculate the symbol error rate(SER) of 4-ary PAM signals with the BSR-based detection under additive white Gaussian noise(AWGN). Finally, the simulation results validate that BSR-based detection scheme can improve the detection performance while efficiently reducing the symbol error rate.
