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Low Complexity Detection Algorithms Based on ADMIN for Massive MIMO

China Communications 2023年第11期20卷 67-77页

作者： Shuchao Mi Jianyong Zhang Fengju Fan Baorui Yan Muguang Wang Institute of Lightwave Technology Beijing Jiaotong UniversityBeijing 100044China Key Lab of All Optical Network and Advanced Telecommunication of EMC Beijing Jiaotong UniversityBeijing 100044China

This paper proposes the alternating direction method of multipliers-based infinity-norm(ADMIN) with threshold(ADMIN-T) and with percentage(ADMIN-P) detection algorithms,which make full use of the distribution of the signal to interference plus noise ratio(SINR) for an uplink massive MIMO *** ADMIN-T and ADMIN-P detection algorithms are improved visions of the ADMIN detection algorithm,in which an appropriate SINR threshold in the ADMIN-T detection algorithm and a certain percentage in the ADMIN-P detection algorithm are designed to reduce the overall computational *** detected symbols are divided into two parts by the SINR threshold which is based on the cumulative probability density function(CDF) of SINR and a percentage,*** symbols in higher SINR part are detected by *** interference of these symbols is then cancelled by successive interference cancellation(SIC).Afterwards the remaining symbols with low SINR are iteratively detected by *** simulation results show that the ADMIIN-T and the ADMIN-P detection algorithms provide a significant performance gain compared with some recently proposed detection *** addition,the computational complexity of ADMIN-T and ADMIN-P are significantly ***,in the case of same number of transceiver antennas,the proposed algorithms have a higher performance compared with the case of asymmetric transceiver antennas.

关键词： ADMIN low complexity detection algo-rithm massive MIMO MMSE SINR

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Influence of Multiple-beam Interference on Diffractive Waveguide Imaging 3

Influence of Multiple-beam Interference on Diffractive Waveg...

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3rd International Conference on Laser, Optics, and Optoelectronic Technology, LOPET 2023

作者： Ji, Wenjie Tan, Zhongwei Key Lab of All Optical Network & Advanced Telecommunication Network Ministry of Education Institute of Light Wave Technology School of Electronic and Information Engineering Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9781510667624

This paper applies Fresnel diffraction theory to analyze the phenomenon of multiple-beam interference in thin waveguides, and subsequently carries out simulation experiments. And further investigates the correlation between the angular deviation triggered by interference and the thickness of the waveguide. To be specific, the paper delves into the detailed analysis of this correlation, thus highlighting the significance of this research. © 2023 SPIE.

关键词： Augmented reality

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Photonic-Assisted Multifunctional Radar for Simultaneous Measurement of Distance, Direction and Velocity

Photonic-Assisted Multifunctional Radar for Simultaneous Mea...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Li, Yan Wang, Muguang Guo, Yuxiao Wang, Jian Yin, Bin Wu, Beilei Institute of Lightwave Technology Beijing Jiaotong University Key Lab of All Optical Network & Advanced Telecommunication Network Ministry of Education Beijing China Institute of Marine Technology Ocean University of China Faculty of Information Science and Engineering Qingdao China

ISBN: (纸本)9798350312614

A novel photonic-assisted multifunctional radar is proposed for simultaneous measurement of the distance, velocity, and direction of the target. In this scheme, a dual-polarization binary phase shift keying (DP-BPSK) modulator is used to implement parallel de-chirping process of the echo signals received by two distributed receiving antennas. By applying a composite signal that combines a linear frequency modulated (LFM) signal and a single-frequency microwave signal as the transmitted signal, the distance, velocity, and direction of the target under test can be derived by analyzing the spectra of the de-chirped and beat signals. Simulation experiments are performed to verify the measurement capability and performance of the proposed scheme. The simulation results show that the error of the distance, velocity and direction measurement are less than ± 6×10-5m, ± 0.1 m/s and ± 0.2°, respectively. © 2023 IEEE.

关键词： direction measurement distance and velocity measurement Microwave photonics radar detection

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A Dual-Broadband Circularly Polarized Shared-Aperture Array Antenna for C-/K-Band Application 15

A Dual-Broadband Circularly Polarized Shared-Aperture Array ...

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15th International Conference on Microwave and Millimeter Wave Technology, ICMMT 2023

作者： Li, Zhengting Ding, Kang Wu, Yanjie Li, Yujian Guangdong University of Technology School of Physics and Optoelectronic Engineering Guangzhou510006 China Beijing Jiaotong University Institute of Lightwave Technology The Key Lab. of All Optical Network Advanced Telecommunication Network of Ministry of Education Beijing100044 China

ISBN: (纸本)9798350338874

This paper presents a dual broadband circularly polarized (CP) array antenna with shared aperture for C- and K-band application. First, the CP operation for C-band element is generated by four square ring patches which are fed by an unequal cross slot. Second, a CP magnetoelectric (ME) dipole antenna with one pair of horizontal patches connected is used as the main radiator for K-band. The coupling slot etched on the ground is modified as cross-shaped to enhance the CP bandwidth. Last, a C-band 2×2 array and K-band 4×4 array are interlaced together at a shared aperture. The simulated results show the proposed antenna exhibits a -10-dB impedance bandwidth of 16.5% and 3-dB AR bandwidth of 16.2% at C-band, while has a -10-dB impedance bandwidth of 52.4% and 3-dB AR bandwidth of 33.7% at K-band. © 2023 IEEE.

关键词： Bandwidth

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An Extended L-Band Gain Equalization with a Few Mode Erbium Doped Fiber

An Extended L-Band Gain Equalization with a Few Mode Erbium ...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Wang, Jianshuai Pei, Li Hu, Kaihua Zheng, Jingjing Xu, Wenxuan Li, Jing Ning, Tigang Zhong, Li Beijing Jiaotong University Key Lab. of All Optical Network and Advanced Telecommunication Network of Ministry of Education Beijing100044 China Yangtze Optical Fibre and Cable Joint Stock Limited Company State Key Laboratory of Optical Fiber and Cable Manufacture Technology Wuhan430073 China

ISBN: (纸本)9798350312614

关键词： Few-mode EDF L-band amplifier Modal gain equalization

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A deep learning-enhanced multimode fiber Bragg grating (MMFBG) bidirectional bending sensor

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IEEE Sensors Journal 2025年第12期25卷 21674-21682页

作者： Xu, Jing Liu, Yan Hou, Zhibo Pang, Lezhi Li, Guangde Xu, Hang Ren, Wenhua Wang, Muguang Yan, Fengping Beijing Jiaotong University Key Lab of All Optical Network and Advanced Telecommunication Network of Ministry of Education Institute of Lightwave Technology Beijing100044 China Beijing Jiaotong University School of Electronic and Information Engineering Beijing100044 China

In this research, a deep learning-enhanced multimode fiber Bragg grating (MMFBG) bending sensor is proposed with the capability of bidirectional bending sensing. Unlike fiber Bragg gratings (FBGs) in singlemode fibers (SMFs), MMFBGs exhibit multiple reflected peaks in their reflected spectra, especially when coreoffset launching is employed. When various bending is applied to the grating, the couplings between the forward and backward fundamental mode and higher order modes are affected, which results in a changed reflected spectrum. Therefore, the reflected spectrum with rich information can be used to characterize the bending. The MMFBG is encapsulated using a silicone tube filled with polydimethylsiloxane (PDMS) to protect the grating and enhance the sensor’s stability. In order to track the nonlinear relationship between the spectrum and the bending of the MMFBG, a deep learning model is utilized integrating a one-dimensional convolutional neural network (1D-CNN), a bidirectional long short-term memory (BiLSTM) network, and a self-attention mechanism, which enables accurate prediction of bidirectional bending angles. The experimental results demonstrate that within the bending range from -135° to 135°, the proposed model achieves a coefficient of determination (R2) of 0.9999 and a root mean square error (RMSE) of 0.8022° in bending prediction. For unknown bending angles, the RMSE is 4.0094°. Compared to traditional wavelength monitoring and deep learning based methods, the proposed sensing scheme enables a more efficient and accurate sensing of bidirectional bending with a very simple structure. © 2001-2012 IEEE.

关键词： Deep neural networks

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Modeling optimization design and amplification characteristics of O-band irregular Bragg bismuth-doped fiber amplifier

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Results in Physics 2024年 63卷

作者： Wang, Dingchen Pei, Li Zheng, Jingjing Wang, Jianshuai Xu, Wenxuan Li, Jing Ning, Tigang Key Lab of All Optical Network & Advanced Telecommunication Network of EMC Institute of Lightwave Technology Beijing Jiaotong University Beijing 100044 China

In recent years, O-band bismuth-doped fiber amplifier (BDFA) have been rapidly developed due to the fluorescence properties of bismuth-doped glass in the near-infrared (NIR) band, while there are still few studies on bismuth-doped fibers (BDF) with large mode fields as of now. In addition, although the use of a double-pass structure on the amplifier can lead to gain improvement, this also deteriorates the noise figure (NF). Therefore, the study of bismuth-doped fibers with large mode-field areas is a promising path to develop high-performance BDFA. In this work, taking a commercial bismuth-doped fiber as an instance, we first measured the refractive index distribution of the BDF in the O-band using a self-developed fiber refractive index tester, and thereby obtained its actual mode-field area. Then, based on this we further propose an irregular Bragg bismuth-doped fiber with the refractive index growing layer by layer. The results suggests that the effective mode-field area of this fiber reaches 401 um² at 1320 nm, which is nearly 5.8 times that of a common single-mode BDF. Finally, we performed numerical simulations of the amplification performance based on this fiber. Under the condition of total pumping power of 8 W, the signal with −20 dBm input power obtains a gain of more than 54 dB and an NF of less than 5 dB at 1320 nm wavelength. This work demonstrates the great potential of this Bragg bismuth-doped fiber as an O-band high-gain amplifier and high-power laser. © 2024 The Author(s)

关键词： Amplifier BDFA Bragg Fiber Noise

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Optimized Interleavers for Bit-interleaved Polar Coded MIMO Systems 4

Optimized Interleavers for Bit-interleaved Polar Coded MIMO ...

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4th IEEE International Conference on Electronics and Communication Engineering, ICECE 2021

作者： Song, Yimei Zhang, Jianyong Hu, Weiguo Fan, Fengju Institute of Lightwave Technology Beijing Jiaotong University Key Lab of All-Optical Network and Advanced Telecommunication Network of EMC Beijing China

ISBN: (纸本)9781728194226

In order to improve the performance of bit-interleaved polar coded MIMO systems (BI-PC-MIMO), we propose two optimized interleavers for BI-PC-MIMO with parallel antenna partition. One of the schemes is the generalized method of compound interleaver and the other one flips the bits twice before mapping them to the symbols with modulation scheme. The simulation results show that the proposed interleaving schemes can outperform the random interleaver with 0.25dB for 16QAM in some certain configurations. ©2021 IEEE

关键词： Antennas

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Joint device architecture algorithm codesign of the photonic neural processing unit

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advanced Photonics Nexus 2023年第3期2卷 132-138页

作者： Li Pei Zeya Xi Bing Bai Jianshuai Wang Jingjing Zheng Jing Li Tigang Ning Beijing Jiaotong University Institute of Lightwave TechnologyKey Lab of All Optical Network&Advanced Telecommunication Network of EMCBeijingChina Photoncounts(Beijing)Technology Co.Ltd. BeijingChina

The photonic neural processing unit(PNPU)demonstrates ultrahigh inference speed with low energy consumption,and it has become a promising hardware artificial intelligence(AI)***,the nonidealities of the photonic device and the peripheral circuit make the practical application much more *** than optimizing the photonic device,the architecture,and the algorithm individually,a joint device-architecture-algorithm codesign method is proposed to improve the accuracy,efficiency and robustness of the ***,a full-flow simulator for the PNPU is developed from the back end simulator to the high-level training framework;Second,the full system architecture and the complete photonic chip design enable the simulator to closely model the real system;Third,the nonidealities of the photonic chip are evaluated for the PNPU *** average test accuracy exceeds 98%,and the computing power exceeds 100TOPS.

关键词： optics photonics Mach-Zehnder interferometer array photonic neural processing unit design

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Simulation and Experimental Validation of the Jcr-Cnn Model for Hybrid Modes Recognition and Decomposition in Few-Mode Fibers

SSRN

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SSRN 2023年

作者： Yan, Baorui Zhang, Jianyong Mi, Shuchao Fan, Guofang Wang, Chenyu Wang, Muguang Yan, Fengping Institute of Lightwave Technology Key Lab of All Optical Network & Advanced Telecommunication Network Ministry of Education Beijing Jiaotong University Beijing100044 China School of Electronic and Information Engineering Beijing Jiaotong Universit Beijing100044 China

A novel joint classification and regression task convolutional neural network (JCR-CNN) architecture is proposed, which can perform the discrimination of hybrid mode group categories in few-mode fibers (FMFs) and predict corresponding mode coefficients simultaneously. In addition, the introduction of the data augmentation (DA) technique establishes a tight link between experimental and synthetic simulation data, allowing the model trained only on simulation data to cope well with the acquisition errors in the experimental optical path configuration when making predictions based on experimental data. Both simulation and experimental results quantitatively demonstrate the feasibility and effectiveness of the proposed model for the coexistence of up to six hybrid modes. To the best of our knowledge, this work provides a new perspective for a more comprehensive characterization of hybrid modes in optical fibers, which is expected to have applications in various fields such as sensing. © 2023, The Authors. All rights reserved.

关键词： Mode decomposition

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