搜索

x

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于低采样率模数转换器的延时复用频分多址无源光网络

白光富 江阳 胡林 田晶 訾月姣

引用本文:
Citation:

基于低采样率模数转换器的延时复用频分多址无源光网络

白光富, 江阳, 胡林, 田晶, 訾月姣

Delay division multiplexing orthogonal frequency-division multiple access passive optical networks using low-sampling-rate analog-to-digital converter

Bai Guang-Fu, Jiang Yang, Hu Lin, Tian Jing, Zi Yue-Jiao
PDF
导出引用
  • 基于正交频分复用技术的无源光网络中,光网络单元为了获得其所属小部分下行数据,需高采样率模数转换器将所有频宽的信号恢复才能分出其所需要数据.同时正交频分信号峰均比很高,传输中容易引起非线性效应.为此,本文提出一种基于低采样模数转换器的延时复用频分多址无源光网络.在光线路终端将数据序列交错排序并在时域映射为正交幅度调制信号;再通过离散傅里叶变换扩频技术,将信号转换为频域信号并映射到子载波上.通过预先发送和回传训练信号,估测包括延时采样和低采样接收在内的信道频响;再将频域信号利用估测信息在光线路终端做预处理,从而使信号传输中的失真得到有效预补偿.本文实验演示了含有多个光网络单元的系统,对于含有M个光网络单元的无源光网络,模数转换器的采样率可以降低到1/M Nyquist采样率,实验中模数转换器的采样率可以降低到1/32 Nyquist采样率;由于下行信号通过光线路终端预处理实现失真预补偿,光网络单元接收到的信号不需要均衡,不需要傅里叶变换和傅里叶逆变换,避免了与之对应的相关计算量,降低了光网络单元的计算复杂度;由于使用了扩频技术,信号波形具有更低的峰均比,从而降低了非线性对信号的影响,增加了功率预算.此外,随着光网络单元的增加,信号的误码率几乎没有增加,光网络单元个数增加到32时,向前纠错极限为10-3的功率代价小于0.5 dB;系统对光网络单元采样时刻偏离具有一定容限;25 km光纤传输的功率代价大约0.5 dB.理论和实验均证明本方案能够简化光网络单元,降低无源光网络的成本;与传统的无源光网络相比具有明显优势.
    In traditional orthogonal frequency-division multiple access passive optical networks (OFDMA PON) or time-division multiplexing access (TDMA) based OFDM PONs, analog-to-digital converters (ADCs) with a high sampling rate are required to demodulate high-speed aggregated OFDM data in order to receive a small portion of the downstream data at optical network users (ONUs). Meanwhile, OFDM signal has a higher peak-to-average power ratio (PAPR) than the single carrier signal, which can result in the nonlinear effect. The resulting nonlinearity reduces the received signal performance. To enhance practicability of the present PONs, according to the sub-Nyquist sampling theory, we propose and detail a delay-division-multiplexing (DDM) scheme to enable a FDMA PON with low-sampling-rate ADCs. Based on pre-allocated relative time delays among the ONUs and discrete Fourier transform spread (DFT-S) technique, pre-processed signals sent from an optical line terminal (OLT) can be detected as different downstream signals following spectral aliasing caused by ADCs operating at a sub-Nyquist sampling rate. In the proposed scheme, as the signal distortion introduced by the propagation, aliasing and time shifted sampling is pre-compensated, the DFT and inverse discrete Fourier transform (IDFT) are unnecessary for de-mapping and picking out the signal at ONUs. Therefore, the proposed DDM scheme greatly enhances cost efficiency and enables a reduction in computational complexity. Meanwhile, DFT-S FDMA signal has low PAPR, which relieves the nonlinear effect in signal E/O conversion and transmission. As a result, the proposed scheme benefits the power budget of the OLT and power consumption of the ONUs. In experiment, we demonstrate that each ONU with an ADC operating at 1/2-1/32 of the Nyquist sampling rate is able to receive 1/2-1/32 of the downstream data, with an insignificant performance penalty. Furthermore, the details of the matrices that include channel response, aliasing and time delay are first analyzed. In addition, training symbol is very important for estimating the channel response, and how to derive and design training symbols is the first study to outline the details of this issue. The effects of fiber dispersion and the sampling instant of an ADC on signal performance are also studied. The results show that the signal performance has some degree of tolerance to sampling instant deviation and the power penalty is less than 0.5 dB to achieve a forward error correction limit of 10-3 after 25 km fiber transmission. The theoretical analysis and experimental results indicate that the proposed scheme can simplify the ONU and reduce the cost of the PON.
      通信作者: 白光富, baiguangfu123@163.com
    • 基金项目: 国家自然科学基金(批准号:11264006,61465002,61650403)、贵州省留学人员科技创新项目(批准号:2016-23)和贵州省社发公关项目(批准号:2013-3125)资助的课题.
      Corresponding author: Bai Guang-Fu, baiguangfu123@163.com
    • Funds: Project supported by the National Natural Science Foundation of China (Grant Nos. 11264006, 61465002, 61650403), the Guizhou Provincial Foundation for Returned Scholars, China (Grant No. 2016-23), and the Key Science and Technology Program of Guizhou Province, China (Grant No. 2013-3125).
    [1]

    Castells M, Fernandez-Ardevol M, Qiu J L, Sey A 2007 Mobile Communication and Society:A global Perspective (Boston:MIT) pp1-75

    [2]

    Pea R D, Mills M I, Hoffert E, Rosen J H, Dauber K 2014 US Patent 8 645 832

    [3]

    Su C R, Chen J J, Chang K L 2012 International Workshop on Multimedia Signal Processing Banff, September 17-19, 2012 p343

    [4]

    Kim S M, Han D H, Lee Y S, Renshaw P F 2012 Comput. Hum. Behav. 28 1954

    [5]

    Luo Y, Zhou X, Effenberger F, Yan X, Peng G, Qian Y, Ma Y 2013 J. Lightwave Technol. 31 587

    [6]

    Bhatia K S, Kamal T S, Kaler R S 2012 Comput. Electr. Eng. 38 1573

    [7]

    Koonen T 2006 Proc. IEEE 94 911

    [8]

    Cvijetic N 2012 J. Lightwave Technol. 30 384

    [9]

    Schindler P C, Schmogrow R M, Dreschmann M, Meyer J, Hillerkuss D, Tomkos I, Leuthold J 2013 Optical Fiber Communication Conference California, March 19-23, 2013 p1

    [10]

    Iannone P P, Reichmann K C, 2010 European Conference and Exhibition on Optical Communication Turin, September 19-23, 2010 p1

    [11]

    Kim S Y, Kani J I, Suzuki K I, Otaka A 2014 IEEE Photon. Tech. L. 26 2469

    [12]

    Cheng L, Wen H, Zheng X, Zhang H Y, Zhou B K 2011 Opt. Express 19 19129

    [13]

    Wei C C, Liu H C, Lin C T 2015 Optical Fiber Communication Conference Los Angeles, March 20-24, 2015 p1

    [14]

    Wei C C, Liu H C, Lin C T, Chi S 2016 J. Lightwave Technol. 34 2381

    [15]

    Bai G F, Lin C T, Lin C H, Ho C H, Wei C C, Jiang Y, Chi S, Hu L 2016 Optical Fiber Communication Conference Anaheim, Los Angeles, March 2-24, 2016 Th3C.6

    [16]

    Wong I C, Oghenekome O, Wes M C 2016 IEEE Trans. Commun. 8 2161

    [17]

    Yang Q, He Z X, Yang Z, Yu S H, Yi X W, Shieh W 2012 Opt. Express 20 2379

    [18]

    Tang Y, William S, Krongold B S 2010 IEEE Photon. Tech. L. 22 1250

    [19]

    Harashima H, Miyakawa H 1972 IEEE Trans. Commun. 20 774

    [20]

    Lin C H, Lin C T, Wei C C, Chi S, Fang R 2017 Optical Fiber Communication Conference Los Angeles, March 19-23, 2017 W1K.2

    [21]

    Wei C C, Cheng H L, Chen H Y, Chen Y C, Chu H H, Chang K C 2015 J. Lightwave Technol. 33 3069

    [22]

    Dardari D, Tralli V, Vaccari A 2000 IEEE Trans. Commun. 48 1755

  • [1]

    Castells M, Fernandez-Ardevol M, Qiu J L, Sey A 2007 Mobile Communication and Society:A global Perspective (Boston:MIT) pp1-75

    [2]

    Pea R D, Mills M I, Hoffert E, Rosen J H, Dauber K 2014 US Patent 8 645 832

    [3]

    Su C R, Chen J J, Chang K L 2012 International Workshop on Multimedia Signal Processing Banff, September 17-19, 2012 p343

    [4]

    Kim S M, Han D H, Lee Y S, Renshaw P F 2012 Comput. Hum. Behav. 28 1954

    [5]

    Luo Y, Zhou X, Effenberger F, Yan X, Peng G, Qian Y, Ma Y 2013 J. Lightwave Technol. 31 587

    [6]

    Bhatia K S, Kamal T S, Kaler R S 2012 Comput. Electr. Eng. 38 1573

    [7]

    Koonen T 2006 Proc. IEEE 94 911

    [8]

    Cvijetic N 2012 J. Lightwave Technol. 30 384

    [9]

    Schindler P C, Schmogrow R M, Dreschmann M, Meyer J, Hillerkuss D, Tomkos I, Leuthold J 2013 Optical Fiber Communication Conference California, March 19-23, 2013 p1

    [10]

    Iannone P P, Reichmann K C, 2010 European Conference and Exhibition on Optical Communication Turin, September 19-23, 2010 p1

    [11]

    Kim S Y, Kani J I, Suzuki K I, Otaka A 2014 IEEE Photon. Tech. L. 26 2469

    [12]

    Cheng L, Wen H, Zheng X, Zhang H Y, Zhou B K 2011 Opt. Express 19 19129

    [13]

    Wei C C, Liu H C, Lin C T 2015 Optical Fiber Communication Conference Los Angeles, March 20-24, 2015 p1

    [14]

    Wei C C, Liu H C, Lin C T, Chi S 2016 J. Lightwave Technol. 34 2381

    [15]

    Bai G F, Lin C T, Lin C H, Ho C H, Wei C C, Jiang Y, Chi S, Hu L 2016 Optical Fiber Communication Conference Anaheim, Los Angeles, March 2-24, 2016 Th3C.6

    [16]

    Wong I C, Oghenekome O, Wes M C 2016 IEEE Trans. Commun. 8 2161

    [17]

    Yang Q, He Z X, Yang Z, Yu S H, Yi X W, Shieh W 2012 Opt. Express 20 2379

    [18]

    Tang Y, William S, Krongold B S 2010 IEEE Photon. Tech. L. 22 1250

    [19]

    Harashima H, Miyakawa H 1972 IEEE Trans. Commun. 20 774

    [20]

    Lin C H, Lin C T, Wei C C, Chi S, Fang R 2017 Optical Fiber Communication Conference Los Angeles, March 19-23, 2017 W1K.2

    [21]

    Wei C C, Cheng H L, Chen H Y, Chen Y C, Chu H H, Chang K C 2015 J. Lightwave Technol. 33 3069

    [22]

    Dardari D, Tralli V, Vaccari A 2000 IEEE Trans. Commun. 48 1755

  • [1] 夏永顺, 杨晓阔, 豆树清, 崔焕卿, 危波, 梁卜嘉, 闫旭. 基于磁性隧道结和双组分多铁纳磁体的超低功耗磁弹模数转换器.  , 2024, 73(13): 137502. doi: 10.7498/aps.73.20240129
    [2] 朱佳莉, 曹原, 张春辉, 王琴. 实用化量子密钥分发光网络中的资源优化配置.  , 2023, 72(2): 020301. doi: 10.7498/aps.72.20221661
    [3] 季阳, 陈美玲, 黄汛, 吴永政, 兰冰. 不同光学网络结构玻色采样发生随机光子损失的模拟研究.  , 2022, 71(19): 190301. doi: 10.7498/aps.71.20220331
    [4] 陈传升, 王秉中, 王任. 基于时间反演技术的电磁器件端口场与内部场转换方法.  , 2021, 70(7): 070201. doi: 10.7498/aps.70.20201682
    [5] 白鹏, 张月蘅, 沈文忠. 半导体上转换单光子探测技术研究进展.  , 2018, 67(22): 221401. doi: 10.7498/aps.67.20180618
    [6] 林书庆, 江宁, 王超, 胡少华, 李桂兰, 薛琛鹏, 刘雨倩, 邱昆. 基于动态混沌映射的三维加密正交频分复用无源光网络.  , 2018, 67(2): 028401. doi: 10.7498/aps.67.20171246
    [7] 谭巍, 邱晓东, 赵刚, 侯佳佳, 贾梦源, 闫晓娟, 马维光, 张雷, 董磊, 尹王保, 肖连团, 贾锁堂. 高效频率转换下双波长外腔共振和频技术研究.  , 2016, 65(7): 074202. doi: 10.7498/aps.65.074202
    [8] 张晓旭, 张胜海, 吴天安, 孙巍阳. 1550 nm-VCSELs在偏振保持光反馈和正交光注入下的偏振转换特性.  , 2016, 65(21): 214206. doi: 10.7498/aps.65.214206
    [9] 孟祥松, 张福民, 曲兴华. 基于重采样技术的调频连续波激光绝对测距高精度及快速测量方法研究.  , 2015, 64(23): 230601. doi: 10.7498/aps.64.230601
    [10] 马璐, 刘凇佐, 乔钢. 水声正交频分多址上行通信稀疏信道估计与导频优化.  , 2015, 64(15): 154304. doi: 10.7498/aps.64.154304
    [11] 韩云, 钟圣伦, 叶正圣, 陈启军. 基于视角无关转换的深度摄像机定位技术.  , 2014, 63(7): 074211. doi: 10.7498/aps.63.074211
    [12] 汪龙, 马海强, 李申, 韦克金. 基于光子间隙随机分布的真随机数源.  , 2013, 62(10): 100303. doi: 10.7498/aps.62.100303
    [13] 冯维, 丁辉, 林昊, 罗辽复. λ噬菌体溶源/裂解转换调控与定态熵.  , 2012, 61(16): 168701. doi: 10.7498/aps.61.168701
    [14] 陈莎莎, 张建忠, 杨玲珍, 梁君生, 王云才. 基于混沌激光产生1 Gbit/s的随机数.  , 2011, 60(1): 010501. doi: 10.7498/aps.60.010501
    [15] 胡华鹏, 王金东, 黄宇娴, 刘颂豪, 路巍. 基于条件参量下转换光子对的非正交编码诱惑态量子密钥分发.  , 2010, 59(1): 287-292. doi: 10.7498/aps.59.287
    [16] 周城, 高艳侠, 王培吉, 张仲, 李萍. 负折射率材料中二次谐波转换效率的理论分析.  , 2009, 58(2): 914-918. doi: 10.7498/aps.58.914
    [17] 吴忠强, 谭拂晓, 王绍仙. 基于无源化的细胞神经网络超混沌系统同步.  , 2006, 55(4): 1651-1658. doi: 10.7498/aps.55.1651
    [18] 刘海峰, 代正华, 陈峰, 龚欣, 于遵宏. 混沌动力系统小波变换模数的关联维数.  , 2002, 51(6): 1186-1192. doi: 10.7498/aps.51.1186
    [19] 胡响明, 汪德新. 双光子过程诱导的原子相干——从反转激光到无反转激光的转换.  , 1997, 46(1): 61-68. doi: 10.7498/aps.46.61
    [20] 张忠彭. 无回波室性能鉴定技术.  , 1982, 31(11): 1457-1465. doi: 10.7498/aps.31.1457
计量
  • 文章访问数:  6145
  • PDF下载量:  132
  • 被引次数: 0
出版历程
  • 收稿日期:  2017-04-19
  • 修回日期:  2017-07-15
  • 刊出日期:  2017-10-05

/

返回文章
返回
Baidu
map