An improved LMS algorithm for mode demultiplexing in frequency domain

Li Li , Lin-lin Lü , Li Han

Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (3) : 155 -159.

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Optoelectronics Letters ›› 2021, Vol. 17 ›› Issue (3) : 155 -159. DOI: 10.1007/s11801-021-0111-9
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An improved LMS algorithm for mode demultiplexing in frequency domain

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Abstract

In order to solve the problem that the traditional frequency domain least mean square (FD-LMS) algorithm will lose efficacy with the increase of differential mode group delay (DMGD) when the algorithm is used for demultiplexing of the 6×6 mode division multiplexing (MDM) system, an improved FD-LMS demultiplexing algorithm is proposed. By improving the error signal calculation method, the convergence performance of the output signal of the equalization filter is improved, and the steady-state error of the algorithm is reduced. Besides, the equalization performance of the traditional FD-LMS algorithm is compared with the improved FD-LMS algorithm. Simulation results show that the improved FD-LMS algorithm has great advantage over the traditional FD-LMS algorithm in demultiplexing performance on the premise that the computation complexity does not significantly increase. The optical signal to noise ratio (OSNR) penalty of the improved FD-LMS algorithm is 2.6 dB lower than that of traditional FD-LMS algorithm at a transmission distance of 80 km with DMGD is 50 ps/km.

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Li Li, Lin-lin Lü, Li Han. An improved LMS algorithm for mode demultiplexing in frequency domain. Optoelectronics Letters, 2021, 17(3): 155-159 DOI:10.1007/s11801-021-0111-9

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References

[1]

LiuQ-q, ZhengH-j, LiX, BaiC-l, HuW-s, YuR-y. Optoelectronics Letters, 2018, 14: 336

[2]

GnauckA H, TkachR W, ChraplyvyA R, LiT. Journal of Lightwave Technology, 2008, 26: 1032

[3]

ZhangX-b, TangY, CuiL, ZhuQ-w, BaiT-z. Acta Optica Sinica, 2016, 36: 0206003 in Chinese)

[4]

GnauckA H, CharletG, TranP, WinzerP J, DoerrC R, CentanniJ C, BurrowsE C, KawanishiT, SakamotoT, HigumaK. Journal of Lightwave Technology, 2008, 26: 79

[5]

MunirA, XinX J, LiuB, LatifA, HussainA, NiaziS A. Optoelectronics Letters, 2012, 8: 138

[6]

EssiambreR, KramerG, WinzerP J, FoschiniG J, GoebelB. Journal of Lightwave Technology, 2010, 28: 662

[7]

RiesenN, GrossS, LoveJ D, SasakiY, WithfordM J. Scientific Reports, 2017, 7: 6971

[8]

Xiao Y, Mumtaz S, Essiambre R J and Agrawal G P, Optical Fiber Communication Conference, 2014.

[9]

ChangY-x, HuG-j, BaiS, LiJ-h, WangY-p. Chinese Journal of Lasers, 2014, 41: 1205004

[10]

RyfR, RandelS, GnauckA H, BolleC, SierraA, MumtazS, EsmaeelpourM, BurrowsE C, EssiambreR J, WinzerP J, PeckhamD W, McCurdyA H, LingleJ R. Journal of Lightwave Technology, 2012, 30: 521

[11]

XieY-w, FuS-n, ZhangH-l, TangM, ShenP, LiuD-m. Acta Optica Sinica, 2013, 33: 0906010 in Chinese)

[12]

HuangC B, HuG J. Chinese Journal of Lasers, 2017, 44: 0606002

[13]

Ryf R, Fontaine N K, Mestre M A, Randel S, Palou X, Bolle C, Gnauck A H, Chandrasekhar S, Liu X, Guan B, Essiambre R J, Winzer P J, Leon-Saval S G, Bland-Hawthorn J, Delbue R, Pupalaikis P, Sureka A, Sun Y, Grüner-Nielsen L, Jensen R V and Lingle R, Frontiers in Optics, 2012.

[14]

ArikS O, AskarovD, KahnJ M. Journal of Lightwave Technology, 2013, 31: 423

[15]

LiG-f, BaiN, ZhaoN-b, XiaC. Advances in Optics and Photonics, 2014, 6: 413

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