Normalized LMS digital filter for chromatic dispersion equalization in 112-Gbit/s PDM-QPSK coherent optical transmission system

Xu, Tianhua; Jacobsen, Gunnar; Popov, Sergei; Li, Jie; Wang, Ke; Friberg, Ari T.

doi:10.1016/j.optcom.2009.11.011

Cited by 27 publications

(23 citation statements)

References 11 publications

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“…(4) for 20 km fiber (D = 16 ps/nm/km) are shown in Fig. 3, which is the same with the one illustrated in our previous work [15]. For a fixed fiber dispersion, the magnitudes of tap weights in FD-FIR filter are constant, whereas the real and the imaginary parts vary periodically.…”

Section: Fiber Dispersion Fir Filtersupporting

confidence: 59%

“…The characteristics of a normalized LMS (NLMS) adaptive filter were preliminarily analyzed by comparing with the FD-FIR filter and the blind look-up filter in our previous work [15]. However, the NLMS adaptive filter, acting as a band-limit filter, can meliorate the back-to-back result in the coherent transmission system, and make it converge to a back-to-back result with a 3-tap NLMS post-filter.…”

Section: Introductionmentioning

confidence: 99%

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Chromatic dispersion compensation in coherent transmission system using digital filters

Xu¹,

Jacobsen²,

Popov³

et al. 2010

Opt. Express

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118

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. (2010) Chromatic dispersion compensation in coherent transmission system using digital filters. Optics Express, 18 (15 Copies of full items can be used for personal research or study, educational, or not-for-profit purposes without prior permission or charge. Provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.Publisher's statement: © 2010 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited. http://dx.doi.org/10.1364/OE.18.016243 A note on versions: The version presented here may differ from the published version or, version of record, if you wish to cite this item you are advised to consult the publisher's version. Please see the 'permanent WRAP URL' above for details on accessing the published version and note that access may require a subscription. Abstract:We present a comparative analysis of three popular digital filters for chromatic dispersion compensation: a time-domain least mean square adaptive filter, a time-domain fiber dispersion finite impulse response filter, and a frequency-domain blind look-up filter. The filters are applied to equalize the chromatic dispersion in a 112-Gbit/s non-return-to-zero polarization division multiplexed quadrature phase shift keying transmission system. The characteristics of these filters are compared by evaluating their applicability for different fiber lengths, their usability for dispersion perturbations, and their computational complexity. In addition, the phase noise tolerance of these filters is also analyzed.

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Section: Fiber Dispersion Fir Filtersupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Chromatic dispersion compensation in coherent transmission system using digital filters

Xu¹,

Jacobsen²,

Popov³

et al. 2010

Opt. Express

Self Cite

118

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“…It has been verified that the behavior of the feedback carrier phase estimation using the one-tap normalized least-mean-square (NLMS) algorithm resembles the differential phase estimation [5,10,25]. Therefore, the theoretical BER evaluation based on this model is also suitable for the one-tap NLMS carrier phase estimation.…”

Section: Discussionmentioning

confidence: 90%

“…Fiber attenuation, polarization mode dispersion and nonlinear effects are neglected. The CD compensation is implemented by using a frequency domain equalizer (FDE) with appropriate parameters [4,5], and the signal equalization is carried out based on the constant modulus algorithm (CMA) [2]. The BER is estimated from a data sequence of 2 17 bits.…”

Section: Numerical Simulations and Analysismentioning

confidence: 99%

“…Coherent optical detection allows the significant equalization of transmission system impairments such as chromatic dispersion (CD), polarization mode dispersion (PMD), phase noise (PN), and fiber nonlinearities (FNLs) in the electrical domain by using the powerful digital signal processing (DSP) [1][2][3][4][5][6][7]. The carrier phase estimation (CPE) can be effectively implemented by employing the feedforward and the feedback algorithms [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Analytical BER performance in differential n-PSK coherent transmission system influenced by equalization enhanced phase noise

Jacobsen

Popov

et al. 2015

Optics Communications

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Long-haul high speed optical transmission systems are significantly distorted by the interplay between the electronic chromatic dispersion (CD) equalization and the local oscillator (LO) laser phase noise, which leads to an effect of equalization enhanced phase noise (EEPN). The EEPN degrades the performance of optical communication systems severely with the increment of fiber dispersion, LO laser linewidth, symbol rate, and modulation format. In this paper, we present an analytical model for evaluating the performance of bit-error-rate (BER) versus signal-to-noise ratio (SNR) in the n-level

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Modified Model and Algorithm of LMS Adaptive Filter for Noise Cancellation

Maurya

Agrawal

Dixit

2018

Circuits Syst Signal Process

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Normalized LMS digital filter for chromatic dispersion equalization in 112-Gbit/s PDM-QPSK coherent optical transmission system

Cited by 27 publications

References 11 publications

Chromatic dispersion compensation in coherent transmission system using digital filters

Chromatic dispersion compensation in coherent transmission system using digital filters

Analytical BER performance in differential n-PSK coherent transmission system influenced by equalization enhanced phase noise

Modified Model and Algorithm of LMS Adaptive Filter for Noise Cancellation

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