Fast convergent frequency-domain MIMO equalizer for few-mode fiber communication systems

He, Xuan; Weng, Yuyan; Wang, Junyi; Pan, Zhongqi

doi:10.1016/j.optcom.2017.07.077

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…The disadvantage of the method was the poor average performance of MSE. He, X. et al [23] developed the MIMO equalizer with fast convergence frequency domain, which had minimal hardware complexity, but the convergence speed was high. Pavan, F.R., et al…”

Section: Resultsmentioning

confidence: 99%

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Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

Girija

Rao

2021

CST

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Impulse noise is the major factor degrading the performance of the wireless system, imposing the need for the impulse noise mitigation strategy. Mainly, in the multiple-input multiple-output (MIMO) and orthogonal frequency-division multiplexing (OFDM) system contaminated with the impulse noise creates a major impact in the performance as the conventional zero-forcing (ZF) equalizer as there is no satisfactory results. Thus, the paper concentrates on the impulse noise mitigation strategy based on the fractional weighed zero-forcing (FWZF) equalizer, which is the integration of the fractional concept in the Zero-Forcing equalizer. The noise impacts in the MIMO-OFDM system are minimized and the performance is enhanced due to the usage of the fractional theory in the ZF equalizer as the equalization values of the previous instances are interpreted for the formulation of the effective equalization value in the current instance of the ZF equalizer. The performance of the methods is done based on the valuation metrics, Bit Error Rate (BER), Mean Square Error (MSE), and Symbol Error Rate (SER) with respect to the Signal-to-Noise Ratio (SNR) and dissimilar antenna array size. It is found that the proposed Fractional Weighed Zero-Forcing equalizer outperformed the existing methods with a minimal BER and SER of 0.063, and 0.1038 while analyzing the methods in the Rayleigh environment.

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Section: Resultsmentioning

confidence: 99%

“…Methods used for comparison included: Joint channel estimation and equalization (JCEE) [23], Adjustable MIMO decision feedback equalization (DFE) [15], Zero Forcing Smoothing term based Minimum Mean Output Energy (ZF -SMMOE) [2] and Zero Forcing Minimum Mean Output Energy (ZF-MMOE) [11].…”

Section: Comparative Methodsmentioning

confidence: 99%

Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

Girija

Rao

2021

CST

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“…Meanwhile, the STBC is able to accomplish an RLS-level performance with a much lower computational complexity, because no matrix inversion is essential during the recursion. Instead of adding a training sequence to each data block, only a few training blocks are added in the beginning, and the channel variations are tracked at the decision-directed stage in an attempt to reduce the overall system overhead [33].…”

Section: Stbc-assisted Rls Algorithmsmentioning

confidence: 99%

Recent Advances in DSP Techniques for Mode Division Multiplexing Optical Networks with MIMO Equalization: A Review

2019

Self Cite

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This paper provides a technical review regarding the latest progress on multi-input multi-output (MIMO) digital signal processing (DSP) equalization techniques for high-capacity fiber-optic communication networks. Space division multiplexing (SDM) technology was initially developed to improve the demanding capacity of optic-interconnect links through mode-division multiplexing (MDM) using few-mode fibers (FMF), or core-multiplexing exploiting multicore fibers (MCF). Primarily, adaptive MIMO filtering techniques were proposed to de-multiplex the signals upon different modes or cores, and to dynamically compensate for the differential mode group delays (DMGD) plus mode-dependent loss (MDL) via DSP. Particularly, the frequency-domain equalization (FDE) techniques suggestively lessen the algorithmic complexity, compared with time-domain equalization (TDE), while holding comparable performance, amongst which the least mean squares (LMS) and recursive least squares (RLS) algorithms are most ubiquitous and, hence, extensively premeditated. In this paper, we not only enclose the state of the art of MIMO equalizers, predominantly focusing on the advantage of implementing the space–time block-coding (STBC)-assisted MIMO technique, but we also cover the performance evaluation for different MIMO-FDE schemes of DMGD and MDL for adaptive coherent receivers. Moreover, the hardware complexity optimization for MIMO-DSP is discussed, and a joint-compensation scheme is deliberated for chromatic dispersion (CD) and DMGD, along with a number of recent experimental demonstrations using MIMO-DSP.

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Rapid-convergence minimum mean square error equalization in few mode fiber

Amphawan,

Najm,

Ali

et al. 2023

AIP Conference Proceedings

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Fast convergent frequency-domain MIMO equalizer for few-mode fiber communication systems

Cited by 7 publications

References 30 publications

Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

Fractional weighted ZF equalizer: A novel approach for channel equalization in MIMO-OFDM system under impulse noise environment

Recent Advances in DSP Techniques for Mode Division Multiplexing Optical Networks with MIMO Equalization: A Review

Rapid-convergence minimum mean square error equalization in few mode fiber

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