Relevant bibliographies by topics / Nonlinearity equalization

Academic literature on the topic 'Nonlinearity equalization'

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Published: 1 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Journal articles on the topic "Nonlinearity equalization":

1

Golani, Ori, Meir Feder, and Mark Shtaif. "Equalization Methods for Out-of-Band Nonlinearity Mitigation in Fiber-Optic Communications." Applied Sciences 9, no. 3 (February 2, 2019): 511. http://dx.doi.org/10.3390/app9030511.

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In recent years, it has been established that the adverse effects of nonlinear interference noise (NLIN) can be mitigated using adaptive equalization methods. As such, a wide variety of adaptive equalization methods have been used to treat nonlinearity, in different transmission scenarios. This paper reviews the principles of out-of-band nonlinearity mitigation using adaptive equalization. Statistical properties of NLIN that can be exploited for mitigation are discussed, as well as the cost and benefit of various types of equalizers. In particular we describe the equivalence between the NLIN and time-dependent inter-symbol-interference (ISI) and discuss ways in which the ISI coefficients can be characterized theoretically and experimentally. We further discuss the effectiveness of existing ISI mitigation algorithms, and explain the need for designing customized algorithms that take advantage of the various correlation properties characterizing the ISI coefficients. This paper is intended to be a practical reference for researchers who want to apply equalization algorithms or design new methods for nonlinearity mitigation.
2

Chen, Yuanjie. "Blind equalization with criterion with memory nonlinearity." Optical Engineering 31, no. 6 (1992): 1200. http://dx.doi.org/10.1117/12.57519.

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Chen, Qianwen, Xiong Chen, David J. Pommerenke, and Ming Yu. "Balanced Intermodulation Reference With Flat Frequency Response Using Nonlinearity Equalization." IEEE Transactions on Electromagnetic Compatibility 62, no. 6 (December 2020): 2634–37. http://dx.doi.org/10.1109/temc.2020.2981462.

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Miao, Pu, Weibang Yin, Hui Peng, and Yu Yao. "Study of the Performance of Deep Learning-Based Channel Equalization for Indoor Visible Light Communication Systems." Photonics 8, no. 10 (October 18, 2021): 453. http://dx.doi.org/10.3390/photonics8100453.

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The inherent impairments of visible light communication (VLC) in terms of nonlinearity of light-emitting diode (LED) and the optical multipath restrict bit error rate (BER) performance. In this paper, a model-driven deep learning (DL) equalization scheme is proposed to deal with the severe channel impairments. By imitating the block-by-block signal processing block in orthogonal frequency division multiplexing (OFDM) communication, the proposed scheme employs two subnets to replace the signal demodulation module in traditional system for learning the channel nonlinearity and the symbol de-mapping relationship from the training data. In addition, the conventional solution and algorithm are also incorporated into the system architecture to accelerate the convergence speed. After an efficient training, the distorted symbols can be implicitly equalized into the binary bits directly. The results demonstrate that the proposed scheme can address the overall channel impairments efficiently and can recover the original symbols with better BER performance. Moreover, it can still work robustly when the system is complicated by serious distortions and interference, which demonstrates the superiority and validity of the proposed scheme in channel equalization.
5

Ruqi Zhang, Ruqi Zhang, Jianfeng Li Jianfeng Li, Zhitong Huang Zhitong Huang, and Yuefeng Ji Yuefeng Ji. "Adaptive frequency domain pre-equalization for white-LED nonlinearity in OFDM-based visible light communication systems." Chinese Optics Letters 13, no. 7 (2015): 072302–72305. http://dx.doi.org/10.3788/col201513.072302.

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Kumar Orappanpara Soman, Sunish. "A tutorial on fiber Kerr nonlinearity effect and its compensation in optical communication systems." Journal of Optics 23, no. 12 (November 22, 2021): 123502. http://dx.doi.org/10.1088/2040-8986/ac362a.

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Abstract The advent of silica-based low-cost standard single-mode fibers revolutionized the whole communication industry. The deployment of optical fibers in the networks induces a paradigm shift in the communication technologies used for long-haul information transfer. However, the communication using the optical fibers is affected by several linear and nonlinear effects. The most common linear effects are attenuation and chromatic dispersion, whereas the dominant nonlinear effect is the Kerr effect. The Kerr effect induces a power-dependent nonlinear distortion for the signal propagating in the optical fiber. The detrimental effects of the Kerr nonlinearity limit the capacity of long-haul optical communication systems. Fiber Kerr nonlinearity compensation using digital signal processing (DSP) techniques has been well investigated over several years. In this paper, we provide a comprehensive tutorial, including the fundamental mathematical analysis, on the characteristics of the optical fiber channel, the origin of the Kerr nonlinearity effect, the theory of the pulse propagation in the optical fiber, and the numerical and analytical tools for solving the pulse propagation equation. In addition, we provide a concise review of various DSP techniques for fiber nonlinearity compensation, such as digital back-propagation, Volterra series-based nonlinearity equalization, perturbation theory-based nonlinearity compensation, and phase conjugation. We also carry out numerical simulation and the complexity evaluation of the selected nonlinearity compensation techniques.
7

Siuzdak, Jerzy. "Comparison of the Nonlinear Dynamic Pre- and Post-LED Equalization." Sensors 22, no. 5 (February 24, 2022): 1782. http://dx.doi.org/10.3390/s22051782.

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Visible Light Communications (VLC) have gained much popularity lately. In such a system, a white LED (Light-Emitting Diode) plays a double role as a light source and a transmitter. The main problem here is that the LED exhibits a low bandwidth and high nonlinearity, so the equalization of the LED nonlinear dynamic response is necessary. For this, various equalizers are used. This paper compares the pre- and post-equalizer performance in terms of the received signal quality for a channel that includes a nonlinear element of limited bandwidth, such as an LED. Multilevel Pulse Amplitude Modulation (PAM) was selected as the signal format, as well as a variant of the Volterra series equalizer as the compensating element. The results obtained may be used for the correction of the dynamic characteristics of LEDs applied in VLC systems. For the sake of comparison, we used Modulation Error Ratio (MER) values at the receiver output. The dynamic nonlinear behavior was modeled by a Wiener–Hammerstein device, whereas the post/pre-equalizer was based on the dynamic deviation reduction-based Volterra series. The obtained results indicate that the post- and pre-equalizer performed comparably for the linear/moderately nonlinear channels and for a high noise level. In the case of high nonlinearity and a large SNR (Signal–to–Noise Ratio) values, the post-equalizer performed somewhat better in terms of MER by a few dB at maximum.
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Scarano, Gaetano, Andrea Petroni, Mauro Biagi, and Roberto Cusani. "Blind Fractionally Spaced Channel Equalization for Shallow Water PPM Digital Communications Links." Sensors 19, no. 21 (October 23, 2019): 4604. http://dx.doi.org/10.3390/s19214604.

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Underwater acoustic digital communications suffer from inter-symbol interference deriving from signal distortions caused by the channel propagation. Facing such kind of impairment becomes particularly challenging when dealing with shallow water scenarios characterized by short channel coherence time and large delay spread caused by time-varying multipath effects. Channel equalization operated on the received signal represents a crucial issue in order to mitigate the effect of inter-symbol interference and improve the link reliability. In this direction, this contribution presents a preliminary performance analysis of acoustic digital links adopting pulse position modulation in severe multipath scenarios. First, we show how the spectral redundancy offered by pulse position modulated signals can be fruitfully exploited when using fractional sampling at the receiver side, which is an interesting approach rarely addressed by the current literature. In this context, a novel blind equalization scheme is devised. Specifically, the equalizer is blindly designed according to a suitably modified Bussgang scheme in which the zero-memory nonlinearity is replaced by a M-memory nonlinearity, M being the pulse position modulation order. Numerical results not only confirm the feasibility of the technique described here, but also assess the quality of its performance. An extension to a very interesting complex case is also provided.
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Asif, Rameez, Rabeea Basir, and Ramshah Ahmad. "Signal Processing Algorithms for Down-Stream Traffic in Next Generation 10 Gbit/s Fixed-Grid Passive Optical Networks." Advances in OptoElectronics 2014 (June 22, 2014): 1–4. http://dx.doi.org/10.1155/2014/296781.

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We have analyzed the impact of digital and optical signal processing algorithms, that is, Volterra equalization (VE), digital backpropagation (BP), and optical phase conjugation with nonlinearity module (OPC-NM), in next generation 10 Gbit/s (also referred to as XG) DP-QPSK long haul WDM (fixed-grid) passive optical network (PON) without midspan repeaters over 120 km standard single mode fiber (SMF) link for downstream signals. Due to the compensation of optical Kerr effects, the sensitivity penalty is improved by 2 dB by implementing BP algorithm, 1.5 dB by VE algorithm, and 2.69 dB by OPC-NM. Moreover, with the implementation of NL equalization technique, we are able to get the transmission distance of 126.6 km SMF for the 1 : 1024 split ratio at 5 GHz channel spacing in the nonlinear region.
10

Mauda, R., and M. Pinchas. "16QAM Blind Equalization via Maximum Entropy Density Approximation Technique and Nonlinear Lagrange Multipliers." Scientific World Journal 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/548714.

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Recently a new blind equalization method was proposed for the 16QAM constellation input inspired by the maximum entropy density approximation technique with improved equalization performance compared to the maximum entropy approach, Godard’s algorithm, and others. In addition, an approximated expression for the minimum mean square error (MSE) was obtained. The idea was to find those Lagrange multipliers that bring the approximated MSE to minimum. Since the derivation of the obtained MSE with respect to the Lagrange multipliers leads to a nonlinear equation for the Lagrange multipliers, the part in the MSE expression that caused the nonlinearity in the equation for the Lagrange multipliers was ignored. Thus, the obtained Lagrange multipliers were not those Lagrange multipliers that bring the approximated MSE to minimum. In this paper, we derive a new set of Lagrange multipliers based on the nonlinear expression for the Lagrange multipliers obtained from minimizing the approximated MSE with respect to the Lagrange multipliers. Simulation results indicate that for the high signal to noise ratio (SNR) case, a faster convergence rate is obtained for a channel causing a high initial intersymbol interference (ISI) while the same equalization performance is obtained for an easy channel (initial ISI low).
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Journal articles

Dissertations / Theses on the topic "Nonlinearity equalization":

1

Benammar, Bouchra. "Formes d'ondes avancées et traitements itératifs pour les canaux non linéaires satellites." Phd thesis, Toulouse, INPT, 2014. http://oatao.univ-toulouse.fr/13567/1/Benammar.pdf.

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Shahkarami, Abtin. "Complexity reduction over bi-RNN-based Kerr nonlinearity equalization in dual-polarization fiber-optic communications via a CRNN-based approach." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT034.

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Les dégradations dues à la non-linéarité de Kerr dans les fibres optiques limitent les débits d’information des systèmes de communications. Les effets linéaires, tels que la dispersion chromatique et la dispersion modale de polarisation, peuvent être compensés par égalisation linéaire, de mise en oeuvre relativement simple, au niveau du récepteur. A l’inverse, la complexité de calcul des techniques classiques de réduction de la non-linéarité, telles que la rétro-propagation numérique, peut être considérable. Les réseaux neuronaux ont récemment attiré l’attention, dans ce contexte, pour la mise en oeuvre d’égaliseurs non-linéaires à faible complexité. Cette thèse porte sur l’étude des réseaux neuronaux récurrents pour compenser efficacement les dégradations des canaux dans les transmissions à longue distance multiplexés en polarisation. Nous présentons une architecture hybride de réseaux neuronaux récurrents convolutifs (CRNN), comprenant un encodeur basé sur un réseau neuronal convolutif (CNN) suivie d’une couche récurrente travaillant en tandem. L’encodeur basé sur CNN représente efficacement la mémoire de canal à court terme résultant de la dispersion chromatique, tout en faisant passer le signal vers un espace latent avec moins de caractéristiques pertinentes. La couche récurrente suivante est implémentée sous la forme d’un RNN unidirectionnel de type vanille, chargé de capturer les interactions à longue portée négligées par l’encodeur CNN. Nous démontrons que le CRNN proposé atteint la performance des égaliseurs actuels dans la communication par fibre optique, avec une complexité de calcul significativement plus faible selon le modèle du système. Enfin, le compromis performance-complexité est établi pour un certain nombre de modèles, y compris les réseaux neuronaux multicouches entièrement connectés, les CNN, les réseaux neuronaux récurrents bidirectionnels, les réseaux long short-term memory bidirectionnels (bi-LSTM), les réseaux gated recurrent units bidirectionnels, les modèles bi-LSTM convolutifs et le modèle hybride proposé
The impairments arising from the Kerr nonlinearity in optical fibers limit the achievable information rates in fiber-optic communication. Unlike linear effects, such as chromatic dispersion and polarization-mode dispersion, which can be compensated via relatively simple linear equalization at the receiver, the computational complexity of the conventional nonlinearity mitigation techniques, such as the digital backpropagation, can be substantial. Neural networks have recently attracted attention, in this context, for low-complexity nonlinearity mitigation in fiber-optic communications. This Ph.D. dissertation deals with investigating the recurrent neural networks to efficiently compensate for the nonlinear channel impairments in dual-polarization long-haul fiber-optic transmission. We present a hybrid convolutional recurrent neural network (CRNN) architecture, comprising a convolutional neural network (CNN) -based encoder followed by a recurrent layer working in tandem. The CNN-based encoder represents the shortterm channel memory arising from the chromatic dispersion efficiently, while transitioning the signal to a latent space with fewer relevant features. The subsequent recurrent layer is implemented in the form of a unidirectional vanilla RNN, responsible for capturing the long-range interactions neglected by the CNN encoder. We demonstrate that the proposed CRNN achieves the performance of the state-of-theart equalizers in optical fiber communication, with significantly lower computational complexity depending on the system model. Finally, the performance complexity trade-off is established for a number of models, including multi-layer fully-connected neural networks, CNNs, bidirectional recurrent neural networks, bidirectional long short-term memory (bi-LSTM), bidirectional gated recurrent units, convolutional bi-LSTM models, and the suggested hybrid model
3

Bartholomew, David Ray. "Design of a High Speed Mixed Signal CMOS Mutliplying Circuit." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd362.pdf.

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Books on the topic "Nonlinearity equalization":

1

Gutiérrez, Alberto. Equalization and detection for digital communication over nonlinear bandlimited satellite communication channels. Las Cruces, N.M: New Mexico State University, 1995.

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Alberto, Gutiérrez. Equalization and detection for digital communication over nonlinear bandlimited satellite communication channels. Las Cruces, N.M: New Mexico State University, 1995.

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Book chapters on the topic "Nonlinearity equalization":

1

Majumder, Saikat. "Wavelet Neural Networks and Equalization of Nonlinear Satellite Communication Channel." In Applications of Artificial Neural Networks for Nonlinear Data, 207–26. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4042-8.ch009.

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Wavelet neural networks are a class of single hidden layer neural networks consisting of wavelets as activation functions. Wavelet neural networks (WNN) are an alternative to the classical multilayer perceptron neural networks for arbitrary nonlinear function approximation and can provide compact network representation. In this chapter, a tutorial introduction to different types of WNNs and their architecture is given, along with its training algorithm. Subsequently, a novel application of WNN for equalization of nonlinear satellite communication channel is presented. Nonlinearity in a satellite communication channel is mainly caused due to use of transmitter power amplifiers near its saturation region to improve efficiency. Two models describing amplitude and phase distortion caused in a power amplifier are explained. Performance of the proposed equalizer is evaluated and compared to an existing equalizer in literature.

Conference papers on the topic "Nonlinearity equalization":

1

Riant, I., S. Borne, and P. Sansonetti. "Asymetrical UV-Written Fibre Fabry-Perot for WDM Soliton Frequency-Guiding and Equalization." In Photosensitivity and Quadratic Nonlinearity in Glass Waveguides. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/pqn.1995.sab.4.

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Single made fibre soliton transmission is of great interest for high bit rate-long haul optically amplified links [1], but requires in-line frequency-guiding filters to decrease temporal fitter of the soliton pulses [2], We here report the realization of asymetrical UV-written fibre Fabry-Pérot filter suitable for both frequency-guiding of WDM soliton transmission and equalization, to compensate, for instance, the asymetries brought between the different channels by the erbium-doped fibre amplifier gain. Such solution offers filter fabrication simplicity, straightforward splicing to other fibres, and extremely low insertion loss.
2

Zhang, Yang, and Saleem A. Kassam. "Blind equalization using coarse quantizer BSS nonlinearity." In 2011 45th Annual Conference on Information Sciences and Systems (CISS 2011). IEEE, 2011. http://dx.doi.org/10.1109/ciss.2011.5766222.

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Koike-Akino, T., Ye Wang, D. S. Millar, K. Kojima, and K. Parsons. "Neural turbo equalization to mitigate fiber nonlinearity." In 45th European Conference on Optical Communication (ECOC 2019). Institution of Engineering and Technology, 2019. http://dx.doi.org/10.1049/cp.2019.0803.

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4

Rosenkranz, Werner, and Johannes von Hoyningen-Huene. "Nonlinearity compensation and equalization in access networks." In 2012 Opto-Electronics and Communications Conference (OECC). IEEE, 2012. http://dx.doi.org/10.1109/oecc.2012.6276521.

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Silva, Edson Porto da, and Metodi Plamenov Yankov. "Adaptive Turbo Equalization of Probabilistically Shaped Constellations." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/ofc.2023.th2a.26.

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Fiber nonlinearity compensation of probabilistically shaped constellations with adaptive turbo equalization is investigated for the first time. Potential for more than 100% transmission reach extension is demonstrated by combining probabilistic shaping, single-channel digital backpropagation, and adaptive turbo equalization.
6

Xia, Chunmin, and Werner Rosenkranz. "Mitigation of Optical Intrachannel Nonlinearity Using Nonlinear Electrical Equalization." In 2006 32nd European Conference on Optical Communications - (ECOC 2006). IEEE, 2006. http://dx.doi.org/10.1109/ecoc.2006.4801152.

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Li, Xiangyu, Hanjie Chen, Shangbin Li, Qian Gao, Chen Gong, and Zhengyuan Xu. "Volterra-based nonlinear equalization for nonlinearity mitigation in organic VLC." In 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2017. http://dx.doi.org/10.1109/iwcmc.2017.7986356.

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Beppu, S., K. Saito, N. Yoshikane, and T. Tsuritani. "Fiber Nonlinearity Equalization with a Quantum-Enhanced Support Vector Machine." In 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC). IEEE, 2022. http://dx.doi.org/10.23919/oecc/psc53152.2022.9850116.

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Lei, Lei, Jianglong Lian, Ketong Zhang, and Yutong Nan. "Post-Equalization Technique to Mitigate LED Nonlinearity in VLC Systems." In 2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2023. http://dx.doi.org/10.1109/icipca59209.2023.10257998.

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Cho, Junho, and Son Thai Le. "Volterra Equalization to Compensate for Transceiver Nonlinearity: Performance and Pitfalls." In Optical Fiber Communication Conference. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/ofc.2022.w2a.36.

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