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Reservoir Computing Based Equalization for Radio over Fiber System

机译:基于储库计算光纤系统的无线电均衡

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Reservoir computing (RC) attracts much attention in many time-series tasks due to its nonlinear mapping capability from the lower space to the higher space and the dynamic memory ability. With conceptual simplicity and computation cheapness, RC is also suitable for hardware implementation. In this paper, the RC is applied to perform the signal equalization for wavelength division multiplexing (WDM) radio over fiber (RoF) system to compensate the distortion caused by the nonlinearity of single wavelength and the interference between multiple wavelengths. Simulation results show that RC with 500 reservoir nodes can enhance the adjacent channel power ratio (ACPR) of the WDM-RoF system from 6 dB to 9 dB after equalization, where the ACPR can be further improved by simply increasing the reservoir size.
机译:由于其从较低空间和动态内存能力的非线性映射能力,储存器计算(RC)在许多时序任务中引起了很多关注。具有概念性简单和计算廉价,RC也适用于硬件实现。在本文中,应用RC以对光纤(ROF)系统的波分复用(WDM)无线电(WDM)无线电的信号均衡以补偿由单波长的非线性和多个波长之间的干扰引起的失真。仿真结果表明,在均衡之后,具有500个储存节点的RC可以从6db-rof系统的相邻信道功率比(ACPR)从6db到9 dB提高,通过简单地增加储存器尺寸,可以进一步提高ACPR。

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