LMS Channel Estimation Algorithm for IM/DD-OFDM/OQAM-PON Systems in 5G-Enabled Industrial Internet

Siyuan Liang, Xuefen Wang, Jianbo Du, Feng Zhao, Haotong Cao
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引用次数: 1

Abstract

Orthogonal frequency division multiplexing/offset quadrature amplitude modulation (OFDM/OQAM) passive optical network (PON) is an attractive technique for 5G-enabled Industrial Internet due to the large bandwidth and ultra-low latency. However, In the OFDM/OQAM-PON system, the intrinsic imaginary interference(IMI) induced by the chromatic dispersion (CD) and polarization mode dispersion (PMD) undermines the system performance. In this paper, we proposed least mean square channel estimation(LMS-CE) algorithm, which not only effectively improves channel estimation performance, but also mitigates the IMI effect. Simulation results show that LMS-CE algorithm exhibits more than a 30% reduction in the bit error rate (BER) than the least squares (LS) algorithm.
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5g工业互联网中IM/DD-OFDM/OQAM-PON系统的LMS信道估计算法
正交频分复用/偏置正交调幅(OFDM/OQAM)无源光网络(PON)因其大带宽和超低延迟而成为5g工业互联网的热门技术。然而,在OFDM/OQAM-PON系统中,色散(CD)和偏振模色散(PMD)引起的本征虚干涉(IMI)影响了系统的性能。在本文中,我们提出了最小均方信道估计(LMS-CE)算法,该算法不仅有效地提高了信道估计性能,而且减轻了IMI效应。仿真结果表明,LMS-CE算法的误码率比最小二乘(LS)算法降低30%以上。
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