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一种自适应前向均衡与判决均衡组合结构及变步长改进算法
引用本文:郝学元,颜晓红,钱丽霞.一种自适应前向均衡与判决均衡组合结构及变步长改进算法[J].物理学报,2015,64(23):238402-238402.
作者姓名:郝学元  颜晓红  钱丽霞
作者单位:南京邮电大学电子科学与工程学院, 南京 210003
基金项目:国家科技重大专项, (批准号:2011ZX05035-003-003)、江苏省高校研究生科研创新计划项目(批准号:CXZZ13_0472)资助的课题.
摘    要:信号在超长线缆传输中, 线缆的线间串扰及温度梯度变化造成噪声干扰, 特别是线缆介电损耗和肌肤效应的影响, 导致接收端信号频率色散失真严重, 难以恢复原始信号, 限制了传输速度. 另外, 在页岩气、煤层气等资源勘探领域, 在用长缆传输数据时, 还要求传输高精度同步脉冲信号, 用于采集数据相位的标定. 线缆的传输效应及噪声干扰严重影响了接收端的信号同步, 造成采集数据相位失真. 本文针对信号在长缆传输中的非线性失真及衰减问题, 提出了一种新型均衡结构, 并针对新模型给出了最优系数组合. 在此基础上针对改进的结构提出了一种基于反正切函数的变步长算法, 该算法配合三误差因子, 形成收敛函数, 该函数具有收敛速度快, 稳态误差小的优点. 改进后的自适应组合均衡器计算复杂度低, 收敛快, 信道跟踪能力强, 加快了数据处理速度, 同时能较好地应对信道的时变性. 仿真结果表明, 基于新变步长算法的自适应组合均衡器, 性能上提高了50%, 并且消除了噪声干扰和码间干扰, 测试实验表明, 在无中继超长缆(7 km以上)传输中, 信号速度提高了一倍.

关 键 词:数据传输  均衡  变步长
收稿时间:2015-03-12

The novel feed forward and decision feedback equalizer structures and improved variable step algorithm
Hao Xue-Yuan,Yan Xiao-Hong,Qian Li-Xia.The novel feed forward and decision feedback equalizer structures and improved variable step algorithm[J].Acta Physica Sinica,2015,64(23):238402-238402.
Authors:Hao Xue-Yuan  Yan Xiao-Hong  Qian Li-Xia
Institution:College of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Abstract:Skin effect and dielectric loss in super-long cable will cause nonlinear attenuation at different signal frequency, and in addition, coupling noise and thermal noise also cause signal distortion at the receiver end. These factors seriously affect the signal transmission speed in the super-long cable. Especially, in the field of exploration of shale gas and bed methane, the transmission cable is also used to transport high-precision synchronization pulse signal, and the synchronization pulse must reach the microsecond accuracy, which is used for data phase calibration. A synchronization signal is a high frequency signal, which suffers more severe attenuation and noise interference. At the receiving end, the sync pulse signal will be drowned in the noise environment, and so it is difficult to restore the original signal.#br#Although fiber can achieve a high transfer rate, but the fiber cable cannot transmit power energy; in addition, the tensile strength and heat resistance of the fiber are much worse than copper cable, these weaknesses limit its application in such industry. Therefore, an effective balancing algorithm is necessary to overcome the propagation effects and interference in a super-long copper cable. However, conventional equalization techniques have well-balanced effect for the short-range communications, but for the long-distance communication, they often have poorly balanced results. In order to solve the above problem and improve the long cable signal transmission speed, this paper presents a new balanced portfolio structure; the new structure uses feed-forward equalizer (FFE) as the pre-stage, and decision-feedback equalizer (DFE) as the post stage to form a new structure. The combination structures can effectively utilize the flexibility of FFE and overcome the problem of error diffusion in DFE. By mathematical modeling and simulation, this paper gives the best combination factors. Furthermore, based on the improved structure, a new convergence algorithm is proposed, which uses the arc tangent function combined with three error converge factors to form a converging function, and it has the advantages of fast convergence and steady-state error. Simulation results show that the FFE-DFE combination equalizer has low computational complexity, fast convergence, and strong channel tracking capability; in addition, it can speed up the data processing speed, and better respond to the real variation of the channel. Simulation results show also that the performance is improved by 50% by eliminating inter-symbol interference and noise.#br#The real circuit board based on the new algorithm have been tested in the East China Petroleum Bureau, the test results show that the algorithm can rectify 160 dB signal distortion, and the transmission speed can reach 5 Mbps in 6 dB signal to noise ratio.
Keywords:data transmission  equalization  variable step
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