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Comparison of the compensation effects of fiber nonlinear impairments with mid-span optical phase conjugation between PDM CO-OFDM system and PDM QPSK system

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Chinese Physics B 2016年第8期25卷 191-195页

作者：徐菲郭梦琪王蕾乔耀军田慧平 State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications Beijing 100876 China

The compensation effects of fiber nonlinearity in 112 Gb/s polarization division multiplexing（PDM） coherent optical systems by mid-span optical phase conjugation（OPC） based on four wave mixing（FWM） effect are studied. Comparisons of the compensation results between PDM coherent optical-orthogonal frequency division multiplexing（CO-OFDM）system and the single carrier（SC） PDM quadrature phase shift keying（QPSK） system are provided as well. The results demonstrate that nonlinear compensation effect with mid-span OPC in PDM CO-OFDM system is much more obvious than that in SC PDM QPSK system.

关键词： nonlinear compensation mid-span OPC PDM CO-OFDM QPSK

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Neural network equalization based on delta-sigma modulation

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Chinese Optics Letters 2024年第4期22卷 8-13页

作者：刘博任建新吴翔宇陈帅东毛雅亚赵利 Nanjing University of Information Science&Technology Nanjng 210044China Key Laboratory for Information Science of Electromagnetic Waves(MoE) Fudan UniversityShanghai 200433China

We propose a neural network equalization delta-sigma modulation(DSM)*** performing DSM on the multiorder quadrature amplitude modulation(QAM)orthogonal frequency division multiplexing(OFDM)signal at the transmitting end,neural network equalizer technology is used in the digital signal processing at receiving *** this technology to a 4.6 km W-band millimeter wave system,it is possible to achieve a 1 Gbaud 8192-QAM OFDM signal *** data rate reached 23.4 Gbit/s with the bit error rate at 3.8×10^(-2),lower than soft-decision forward-error correction threshold(4×10^(-2)).

关键词： multi-order quadrature amplitude modulation W-band delta-sigma modulation neural network equalization nonlinear compensation

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Digital Signal Processing for High-Speed THz Communications

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Chinese Journal of Electronics 2022年第3期31卷 534-546页

作者： YU Jianjun WEI Yi School of Information Science and Technology Fudan University

The use of advanced digital signal processing(DSP) technology in the high-speed terahertz(THz) communication can effectively compensate the linear and nonlinear effects of the system and further improve the transmission performance of the system. This paper introduces the principle and application of advanced DSP algorithms such as probability shaping(PS)technology, Volterra series nonlinear compensation algorithm, Kramers-Kronig receiver, look-up table(LUT)pre-distortion compensation technology, pre-equalization and decision-directed least-mean-square equalization algorithm. Combined with DSP algorithms such as PS and LUT pre-distortion, using photon-assisted technology to successfully realize the wireless transmission of vector THz signals higher than 1 Tbit/s on the sub-THz band(D-band) 4 × 4 multiple input multiple output system.

关键词： Terahertz communication Digital signal processing nonlinear compensation

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A Model-Driven Approach to Enhance Faster-than-Nyquist Signaling over nonlinear Channels

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Journal of Communications and Information Networks 2023年第4期8卷 341-348页

作者： Tongzhou Yu Baoming Bai Ruimin Yuan Chao Chen State Key Laboratory of ISN Xidian UniversityXi'an 710071China

In order to increase the capacity of future satellite communication systems,faster-than-Nyquist(FTN)signaling is increasingly consideredI..Existing methods for compensating for the high power amplifier(HPA)nonlinearity require perfect knowledge of the HPA *** address this issue,we analyze the FTN symbol distribution and propose a complex-valued deep neural network(CVDNN)aided compensation scheme for the HPA nonlinearity,which does not require perfect knowledge of the HPA model and can learn the HPA nonlinearity during the training process.A model-driven network for nonlinearity compensation is proposed to further enhance the ***,two training sets based on the FTN symbol distribution are designed for training the *** simulations show that the Gaussian distribution is a good approximation of the FTN symbol *** proposed model-driven network trained by employing a Gaussian distribution to approximate an FTN signaling can achieve a performance gain of 0.5 dB compared with existing methods without HPA's parameters at the *** proposed neural network is also applicable for non-linear compensation in other systems,including orthogonal frequency-division multiplexing(OFDM).

关键词： Faster-than-Nyquist signaling high power amplifier nonlinear compensation complex-valued neural network

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Analysis and Application of Sensor in Index

Analysis and Application of Sensor in Index

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2013年中国智能自动化学术会议

作者： Chenghui Yang College of Electrical Engineering Northwest University for Nationalities School of Automation and Electrical Engineering Lanzhou Jiaotong University

The paper mainly analyzes the research and application of the sensor index in the networking,and makes a deep understanding of application area and application mode of *** mainly focuses on the research and application of the sensor and the mastery of the qualifications of static and dynamic characteristics of the sensor by analyzing the static and dynamic characteristics,and then describes the application of sensor in the detecting techniques and analyzes the characteristic of the sensor,making the sensor more accurate in the detecting *** design studies the research and application of eddy-current sensor, and then gives rise to the application of index research in the nonlinear compensator of eddy-current sensor,by the analysis of the eddy-current sensor characteristic. In the design,the author utilizes eddy current displacement sensor,and then uses experiments to illustrate,by the design analysis of index compensation circuit,that it can effectively improve the original transmission characteristic of sensor and expand linear measurement range to take index operation circuit as nonlinear compensation link of eddy current displacement sensor.

关键词： Internet of things Sensor index Eddy current nonlinear compensation compensation circuit

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Sliding Mode Extremum Seeking Control of Motor Driving nonlinear System

Sliding Mode Extremum Seeking Control of Motor Driving Nonli...

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第37届中国控制会议

作者： Tianyi Zeng Xuemei Ren Guang Li Yao Zhang School of Automation Beijing Institute of Technology Queen Mary University of London

In this paper, an extremum seeking control with the sliding mode method for a motor driving system with deadzone nonlinearity is presented. The proposed scheme can cope with tracking control problem for the motor driving system with high relative degree. A novel cost function is designed to not only track the reference signal but also compensate for the *** simple form of the designed scheme makes it practical. Stability analysis proves that the present scheme can converge to a neighborhood relating to the cost function. The scheme in this paper can also ensure a satisfactory tracking performance with varying system parameters. Simulation results demonstrate the effectiveness of the proposed scheme.

关键词： Extremum seeking control Sliding mode Motor driving system nonlinear compensation

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