Author Affiliations
Abstract
1 Key Laboratory of Science and Technology on Electronic Information Control, Chengdu 610029, China
2 Center for Information Photonics & Communications, School of Information Science & Technology, Southwest Jiaotong University, Chengdu 610031, China
3 Science and Technology on Communication Security Laboratory, Institute of Southwestern Communication, Chengdu 610041, China
We experimentally demonstrated the use of intelligent impairment equalization (IIE) for microwave downconversion link linearization in noncooperative systems. Such an equalizer is realized based on an artificial neural network (ANN). Once the training process is completed, the inverse link transfer function can be determined. With the inverse transformation for the detected signal after transmission, the third-order intermodulation distortion components are suppressed significantly without requiring any prior information from an input RF signal. Furthermore, fast training speed is achieved, since the configuration of ANN-based equalizer is simple. Experimental results show that the spurious-free dynamic range of the proposed link is improved to 106.5 dB · Hz2/3, which is 11.3 dB higher than that of a link without IIE. Meanwhile, the training epochs reduce to only five, which has the potential to meet the practical engineering requirement.
microwave photonics linearized downconversion link intelligent impairment equalization artificial neural network 
Chinese Optics Letters
2023, 21(2): 023902
作者单位
摘要
西南交通大学信息光子与通信研究中心, 四川 成都 610031
针对偏振复用16阶正交幅度调制(16QAM)传输系统(PDM-16QAM),基于线型卡尔曼滤波器,提出了一种计算复杂度更低、线宽容忍度更高的双偏振并行载波相位恢复算法,使用两个偏振态内环和外环的符号信息对两个偏振态同时进行相位噪声估计。仿真结果表明,在传输速率为224 Gb/s传输速率下,本文算法相比于单偏振卡尔曼滤波器算法的线宽容忍度提高了7倍,由原来的400 kHz提高至2800 kHz。此外,相比于单偏振卡尔曼滤波器载波相位恢复算法,本文算法并行处理符号个数提升了4倍左右,有效提高了算法的实时性,但是复杂度有所降低。最后,在传输速率为224 Gb/s的PDM-16QAM传输实验中对本文算法进行了验证。
信号处理 载波相位恢复 卡尔曼滤波器 偏振复用 
光学学报
2018, 38(9): 0906004
Author Affiliations
Abstract
Center for Information Photonics & Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China
A flexible polarization demultiplexing method based on an adaptive Kalman filter (AKF) is proposed in which the process noise covariance has been estimated adaptively. The proposed method may significantly improve the adaptive capability of an extended Kalman filter (EKF) by adaptively estimating the unknown process noise covariance. Compared to the conventional EKF, the proposed method can avoid the tedious and time consuming parameter-by-parameter tuning operations. The effectiveness of this method is confirmed experimentally in 128 Gb/s 16QAM polarization-division-multiplexing (PDM) coherent optical transmission systems. The results illustrate that our proposed AKF has a better tracking accuracy and a faster convergence (about 4 times quicker) compared to a conventional algorithm with optimal process noise covariance.
060.1660 Coherent communications 
Chinese Optics Letters
2018, 16(6): 060601
Author Affiliations
Abstract
1 Center for Information Photonics & Communications, School of Information Science and Technology, Southwest Jiaotong University, Chengdu 611756, China
2 College of Optics & Photonics (CREOL), University of Central Florida, Orlando, FL 32816, USA
An adaptive digital backward propagation (ADBP) algorithm is proposed and experimentally demonstrated based on the variance of the intensity noise. The proposed algorithm can self-determine the unknown nonlinear coefficient γ and the nonlinear compensation parameter ξ. Compared to the scheme based on the variance of phase noise, the proposed algorithm can avoid the repeated frequency offset compensation and carrier phase recovery. The simulation results show that the system’s performance compensated by the proposed method is comparable to conventional ADBP schemes. The performance of the proposed algorithm is simulated in 40/112 Gb/s polarization-division multiplexing (PDM)-quadrature phase-shift keying (QPSK) and 224 Gb/s PDM-16-quadrature amplitude modulation (QAM) systems and further experimentally verified in a 40 Gb/s PDM-QPSK coherent optical communication system over a 720 km single-mode fiber.
060.2300 Fiber measurements 060.2330 Fiber optics communications 060.4370 Nonlinear optics, fibers 
Chinese Optics Letters
2015, 13(11): 110602
作者单位
摘要
西南交通大学信息光子与通信研究中心, 四川 成都 610031
针对长距离相干光纤通信系统,提出了一种超大色散(CD)监测范围的两级自适应高精度色散估计算法。该算法利用信号功率自相关波形(ACSPW)函数作为粗估计,再使用恒模误差函数(CMA)中心值搜索,得到精确色散值。仿真结果表明,新算法色散估计误差小于35 ps/nm,比传统ACSPW算法精度提高将近4倍;在参考误码率为10-2时,对比传统ACSPW算法,提出的算法功率罚改善8 dB。
光通信 相干光纤通信 自适应色散估计 自相关函数 恒模误差函数 
光学学报
2014, 34(11): 1106006

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!