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Journal articles on the topic 'Channel equalization'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Dikhaminjia, Nana, Mikheil Tsiklauri, Zurab Kiguradze, et al. "Analytical method for joint optimization of FFE and DFE equalizations for multi-level signals." Journal of Electrical Engineering 73, no. 4 (2022): 284–91. http://dx.doi.org/10.2478/jee-2022-0037.

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Abstract Channel equalization is the efficient method for recovering distorted signal and correspondingly reducing bit error rate (BER). Different type of equalizations, like feed forward equalization (FFE) and decision feedback equalization (DFE) are canceling channel effect and recovering channel response. Separate optimization of tap coefficients for FFE and DFE does not give optimal result. In this case FFE and DFE tap coefficients are found separately and they are not collaborating. Therefore, the final equalization result is not global optimal. In the present paper new analytical method

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Simerjeet Kaur, Dr Kamal Kumar Sharma, and Mr Navnidhi Sharma. "Literature Review on BER Improvement of Adaptive Equalizer." International Journal of Research in Informative Science Application & Techniques (IJRISAT) 3, no. 5 (2019): 12–20. http://dx.doi.org/10.46828/ijrisat.v3i5.133.

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Channel equalization is an important aspect in high speed digital communication required for efficient and reliable data recovery and reception when the data is transmitted over band-limited channel subjected to noise and interference. We investigate channel equalization and introduce hierarchical and adaptive nonlinear channel equalization algorithms that are highly efficient and provide significantly improved bit error rate (BER) performance. Due to the high complexity of nonlinear equalizers and poor performance of linear ones, to equalize highly difficult channels, we employ piecewise line

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Sun, Jing, Md Gapar Md Johar, and Jacquline Tham. "Design of Channel Estimation and Channel Equalization Scheme for Massive MIMO-OFDM Communication System." International Journal of Computer Science and Information Technology 5, no. 1 (2025): 234–40. https://doi.org/10.62051/ijcsit.v5n1.22.

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The combination of massive MIMO (massive multiple input multiple output) technology and OFDM (orthogonal frequency division multiplexing) technology has become one of the key technologies in modern wireless communication systems. With the increase in the number of antennas and the complexity of communication channels, channel estimation and channel equalization have become important technical means to ensure system performance. In this paper, a channel estimation method and an adaptive equalization method based on the guide frequency signal are proposed to address the problems of channel disto

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Litwin, L. R. "Blind channel equalization." IEEE Potentials 18, no. 4 (1999): 9–12. http://dx.doi.org/10.1109/45.796095.

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Peng, Cong, Lei Wang, Lerong Hong, Zehua Lin, and An Luo. "Turbo Equalization Based on a Virtual Decoder for Underwater Acoustic Communication." Journal of Marine Science and Engineering 13, no. 6 (2025): 1099. https://doi.org/10.3390/jmse13061099.

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By transferring external information between the equalizer and the decoder iteratively, the performance of turbo equalization is close to the channel capacity. Conventional turbo equalization (CTE) relies on channel coding, while the transmission of external information is a problem in an uncoded system, and turbo equalization without channel coding (TECC) remains unexplored. Therefore, this paper introduces a TECC framework with a virtual decoder constructed by bidirectional processing. The main innovation is that the existence of the virtual decoder enables the transmission of external infor

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Panta, Jariya, Poompat Saengudomlert, and Keattisak Sripimanwat. "Performance Improvement of ACO-OFDM Indoor Optical Wireless Transmissions Using Partial Pre-Equalization." ECTI Transactions on Electrical Engineering, Electronics, and Communications 14, no. 1 (2015): 1–11. http://dx.doi.org/10.37936/ecti-eec.2016141.171081.

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This paper analyzes the performances and presents the benets of partial pre-equalization for indoor optical wireless transmissions based on asymmetrically clipped optical orthogonal frequency division multiplexing (ACO-OFDM) with intensity modulation and direct detection (IM/DD). In particular, for diffuse indoor optical wireless channels, partial pre-equalization can reduce the optical transmit power over post-equalization at the same target bit error rate (BER) for point-to-point transmissions even with imperfect channel knowledge. To further im-prove its performance, bit loading is consider

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Noori, Awab, Angela Amphawan, Alaan Ghazi, and S. A. Aljunid Ghazi. "Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 127–35. http://dx.doi.org/10.11591/eei.v8i1.1399.

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The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in multimode fiber (MMF). Existing equalization algorithms in MDM can mitigate linear channel impairments, but cannot tackle nonlinear channel impairments accurately. Therefore, mitigating the noise in the received signal of MDM in the presence of ISI to recover the transmitted signal is important issue. This paper aims at controlling the broadening of the signal from MDM and minimizing the undesirable noise among channels.

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Awab, Noori, Amphawan Angela, Ghazi Alaan, and A. Aljunid Ghazi S. "Dynamic evolving neural fuzzy inference system equalization scheme in mode division multiplexer for optical fiber transmission." Bulletin of Electrical Engineering and Informatics 8, no. 1 (2019): 127–35. https://doi.org/10.11591/eei.v8i1.1399.

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The performance of optical mode division multiplexer (MDM) is affected by inter-symbol interference (ISI), which arises from higher-order mode coupling and modal dispersion in multimode fiber (MMF). Existing equalization algorithms in MDM can mitigate linear channel impairments, but cannot tackle nonlinear channel impairments accurately. Therefore, mitigating the noise in the received signal of MDM in the presence of ISI to recover the transmitted signal is important issue. This paper aims at controlling the broadening of the signal from MDM and minimizing the undesirable noise among channels.

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9

Liavas, A. P. "Least-squares channel equalization performance versus equalization delay." IEEE Transactions on Signal Processing 48, no. 6 (2000): 1832–35. http://dx.doi.org/10.1109/78.845949.

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10

Wang, Xin, Zhe Jiang, and Xiao-Hong Shen. "Low Complexity Equalization of Orthogonal Chirp Division Multiplexing in Doubly-Selective Channels." Sensors 20, no. 11 (2020): 3125. http://dx.doi.org/10.3390/s20113125.

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Orthogonal Chirp Division Multiplexing (OCDM) is a modulation scheme which outperforms the conventional Orthogonal Frequency Division Multiplexing (OFDM) under frequency selective channels by using chirp subcarriers. However, low complexity equalization algorithms for OCDM based systems under doubly selective channels have not been investigated yet. Moreover, in OCDM, the usage of different phase matrices in modulation will lead to extra storage overhead. In this paper, we investigate an OCDM based modulation scheme termed uniform phase-Orthogonal Chirp Division Multiplexing (UP-OCDM) for high

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11

Wang, Liang, Peiyue Qiao, Junyan Liang, Tong Chen, Xinjie Wang, and Guang Yang. "Accurate Channel Estimation and Adaptive Underwater Acoustic Communications Based on Gaussian Likelihood and Constellation Aggregation." Sensors 22, no. 6 (2022): 2142. http://dx.doi.org/10.3390/s22062142.

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Achieving accurate channel estimation and adaptive communications with moving transceivers is challenging due to rapid changes in the underwater acoustic channels. We achieve an accurate channel estimation of fast time-varying underwater acoustic channels by using the superimposed training scheme with a powerful channel estimation algorithm and turbo equalization, where the training sequence and the symbol sequence are linearly superimposed. To realize this, we develop a ‘global’ channel estimation algorithm based on Gaussian likelihood, where the channel correlation between (among) the segmen

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Wang, Laihe, Yueli Li, Wu Wang, and Daoxiang An. "Moving Target Indication for Dual-Channel Circular SAR/GMTI Systems." Sensors 20, no. 1 (2019): 158. http://dx.doi.org/10.3390/s20010158.

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In a dual-channel circular synthetic aperture radar (CSAR) and ground moving target indication (GMTI) system, the antenna baseline is not parallel with the flight path due to a yaw angle. The angle causes a varying group-phase shift between the dual-channel signals and therefore degrades the correlation between the image pair. Therefore, the group-phase shift needs to be removed before channel equalization. To resolve the problem, the interferometric phase term was deduced and analyzed based on the geometry of a dual-channel CSAR system. Then, the varying phase term with respect to the Doppler

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Manhas, Pratima, and M. K. Soni. "Comparison of various channel equalization techniques in OFDM system using different digital modulations." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 3 (2016): 634. http://dx.doi.org/10.11591/ijeecs.v3.i3.pp634-638.

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<p>The nature of future wireless applications requires high data rates and for this OFDM technique is used. OFDM stands for orthogonal frequency division multiplexing and is a type of multi-carrier transmission where all the subcarriers are orthogonal to each other. At high data rates, the channel distortion to the data is very important and it is somewhat impossible to recover the transmitted data with a simple receiver. So a complex receiver structure is needed which uses computationally expensive equalization and channel estimation algorithms to estimate the channel. These estimations

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Liu, Xin, Shanghong Zhao, Yanxia Liang, and Shahid Karim. "Cluster channel equalization using adaptive sensing and reinforcement learning for UAV communication." PeerJ Computer Science 10 (December 13, 2024): e2557. https://doi.org/10.7717/peerj-cs.2557.

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Aiming to address the need for dynamic sensing and channel equalization in UAV cluster communication environments, this article introduces an equalization algorithm based on a U-Net model and fuzzy reinforcement Q-learning (U-FRQL-EA). This algorithm is designed to enhance the channel sensing and equalization capabilities of UAV communication systems. Initially, we develop a U-Net-based signal processing algorithm that effectively reduces acoustic noise in UAV communication channels and enables real-time, accurate perception of channel states by automatically learning channel features. Subsequ

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Hassan, Shahzad, Noshaba Tariq, Rizwan Ali Naqvi, Ateeq Ur Rehman, and Mohammed K. A. Kaabar. "Performance Evaluation of Machine Learning-Based Channel Equalization Techniques: New Trends and Challenges." Journal of Sensors 2022 (January 6, 2022): 1–14. http://dx.doi.org/10.1155/2022/2053086.

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Wireless communication systems have evolved and offered more smart and advanced systems like ad hoc and sensor-based infrastructure fewer networks. These networks are evaluated with two fundamental parameters including data rate and spectral efficiency. To achieve a high data rate and robust wireless communication, the most significant task is channel equalization at the receiver side. The transmitted data symbols when passing through the wireless channel suffer from various types of impairments, such as fading, Doppler shifts, and Intersymbol Interference (ISI), and degraded the overall netwo

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16

Shouyu, Sun. "Blind Adaptive Channel Equalization Using Modified CMA." Advanced Materials Research 658 (January 2013): 537–40. http://dx.doi.org/10.4028/www.scientific.net/amr.658.537.

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The constant modulus algorithm (CMA) equalizer is perhaps the best known and the most popular scheme for blind adaptive channel equalization. In this paper, a modified constant modulus algorithm (modified CMA or MCMA) is proposed by modifying its error function. We have discussed the MCMA to blind channel equalization for baud-rat sampling in single-user case. Computer simulations are provided for 8PSK signals in noise environments under frequency selective channels. Results demonstrate that the MCMA displays much superior performance to the CMA for both convergence-time and intersymbol interf

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NAVNEET, VIVEK, SAINI AMIT, and KUMAR DUSHYANT. "COMPARISON OF LMS LINEAR AND CMA EQUALIZATION IN COMMUNICATION SYSTEM." International Journal of Interdisciplinary Research and Innovations 11, no. 1 (2023): 1–4. https://doi.org/10.5281/zenodo.7509470.

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<strong>Abstract:</strong> In this paper, the adaptive equalization techniques are used to transmit data through a communication channel. Because the signal cannot be demodulate perfectly at the output of a communication system. However, in practically, all the channels are non ideal and noisy in nature. So, to recover the original signal after demodulation, equalizers minimize the error between the original transmitted signal and demodulated signal. In this paper Least Mean Square (LMS) and Constant Modulus Algorithm (CMA) Algorithms are used. <strong>Keywords:</strong> Adaptive Filter, Adapt

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18

Lu, Jiazhong, Xiaolei Liu, Teng Hu, Jianwei Zhang, and Xiaosong Zhang. "Network Intrusion Feature Map Node Equalization Algorithm Based on Modified Variable Step-Size Constant Modulus." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 14 (2019): 1955015. http://dx.doi.org/10.1142/s0218001419550152.

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When the network is subject to intrusion and attack, the node output channel equalization will be affected, resulting in bit error and distortion in the output of network transmission symbols. In order to improve the anti-attack ability and equalization of network node, a network intrusion feature map node equalization algorithm based on modified variable step-size constant modulus blind equalization algorithm (MISO-VSS-MCMA) is proposed. In this algorithm, the node transmission channel model after network intrusion is constructed, and sequential processing is performed to intruded nodes with

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19

Sen Gupta, Ananya, Nathan Kofron, and Eva Riherd. "Recent results in shallow water acoustic channel estimation and equalization." Journal of the Acoustical Society of America 152, no. 4 (2022): A40. http://dx.doi.org/10.1121/10.0015469.

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Shallow water acoustic channel estimation and equalization has been widely studied and explored across the last three decades, with several techniques being proposed that account for the rapidly time-varying nature of the channel. Despite advances in integrating robust channel equalization techniques with channel estimation, incorporating well-known models of acoustic propagation into the equalization setup has been hard. In this work, we will present some of our recent explorations in this regard involving a hybrid setting as well as a model-based simulation to test the performance of simple

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Zhang, Xiao Qin, Yong Sheng Hu, and Li Yi Zhang. "Sixth-Second Order Normalized Cumulants Blind Equalization Algorithm Based on T/4 Oversampling." Applied Mechanics and Materials 719-720 (January 2015): 994–99. http://dx.doi.org/10.4028/www.scientific.net/amm.719-720.994.

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Most existing blind equalization algorithms rely on partial or complete channel identification, but the channel order estimation is always a difficult task. In this paper, higher order normalized cumulants analysis is applied to the blind equalization, and a new sixth-second order normalized cumulants blind equalization algorithm based on oversampling is proposed. The proposed method recovers the transmitted sequence adopting optimization algorithm of sixth-second order normalized cumulants without channel identification and channel order estimation. Simulation results show the algorithm's eff

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21

Wang, Xiaolin, Liyi Zhang, Yunshan Sun, Yong Zhang, and Yongsheng Hu. "A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System." Mathematics 11, no. 15 (2023): 3335. http://dx.doi.org/10.3390/math11153335.

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This paper proposes a wireless channel equalization method applied to the constant modulus blind equalization system, which addresses the slow convergence and strong randomness in the initialization of equalizer weights in the constant modulus blind equalization algorithm (CMA) by introducing a hybrid arithmetic whale optimization algorithm (HAWOA). The mean square error in the CMA is utilized as the cost function for the HAWOA to obtain a more effective initial weights for the equalizer. To validate the superiority of the hybrid arithmetic whale constant modulus blind equalization algorithm,

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22

Laot, C., A. Glavieux, and J. Labat. "Turbo equalization: adaptive equalization and channel decoding jointly optimized." IEEE Journal on Selected Areas in Communications 19, no. 9 (2001): 1744–52. http://dx.doi.org/10.1109/49.947038.

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23

Tu, Xingbin, Shaojian Yang, Jie Xi, Yulin Jiang, Wei Yan, and Fengzhong Qu. "Doubly-spread channel equalization based on channel shortening in mobile underwater acoustic communications." Journal of the Acoustical Society of America 154, no. 4_supplement (2023): A249. http://dx.doi.org/10.1121/10.0023447.

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The shallow water environments and the movement of autonomous underwater vehicles contribute to the distortion of acoustic signals in both the delay and Doppler domains. Numerous studies have focused on eliminating the distortion in underwater acoustic communications but have struggled to find an optimal trade-off between performance and computational complexity, rendering them impractical for marine engineering applications. In our research, we propose a channel-shortening equalization scheme based on frequency-domain decision feedback equalization (FD-DFE) to address this issue. This approac

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Wang, Dan, and Chi Yun Xu. "Research on Adaptive Modulation and Coding Technology in LTE-A System." Applied Mechanics and Materials 513-517 (February 2014): 2534–37. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2534.

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In order to further improve the throughput and performance of the LTE system in the LTE-A system,this paper proposes a kind of AMC before the channel equalization in the LTE-A system. The scheme will be the channel matrix rank, channel correlation and channel equalization of SNR together as parameter for MCS, through the CQI-SNR curve to find the channel equalization before the final CQI to complete the feedback.And it solves the problems that the traditional AMC only relies on the SNR, and the SNR accuracy requirements. The theory and simulation results show, this scheme can improve the syste

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Boutalline, Mohammed, Belaid Bouikhalene, and Said Safi. "Channel Identification and Equalization based on Kernel Methods for Downlink Multicarrier-CDMA Systems." Journal of Electronic Commerce in Organizations 13, no. 2 (2015): 14–29. http://dx.doi.org/10.4018/jeco.2015040102.

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In this paper the authors are focused on channel identification and equalization for Multi-Carrier Code Division Multiple Access (MC-CDMA) system. For this, they identify the impulse response of two practical selective frequency fading channels called Broadband Radio Access Network (BRAN A and BRAN B) normalized by the European Telecommunications Standards Institute (ETSI). To identify the channel parameters, they have the positive definite kernels to build on algorithm. The simulations show that the presented method confirms the good performance for different SNR values. In part of equalizati

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Bastian, Jose Ambrosio, Mariko Nakano Miyatake, and Hector Manuel Perez-Meana. "Neurofuzzy Algorithm For Channel Equalization." Telecommunications and Radio Engineering 56, no. 4-5 (2001): 10. http://dx.doi.org/10.1615/telecomradeng.v56.i4-5.130.

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Sarangi, Archana, Bijay Ketan Panigrahi, and Siba Prasada Panigrahi. "Evolutionary MPNN for Channel Equalization." Journal of Signal and Information Processing 02, no. 01 (2011): 11–17. http://dx.doi.org/10.4236/jsip.2011.21002.

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Orozco-lugo, Aldo, Giselle Galvan-tejada, Mauricio Lara, and Valeri Kontorovitch. "Noncoherent channel equalization for DDPSK." IEEE Transactions on Wireless Communications 6, no. 1 (2007): 269–81. http://dx.doi.org/10.1109/twc.2007.05166.

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Liu, Ruey-wen. "Direct multiple-channel blind equalization." Circuits System and Signal Processing 17, no. 1 (1998): 117–22. http://dx.doi.org/10.1007/bf01213973.

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30

Elkassimi, Said, Said Safi, and B. Manaut. "Blind Channel Estimation and Equalization." International Journal of Multimedia and Ubiquitous Engineering 11, no. 12 (2016): 191–206. http://dx.doi.org/10.14257/ijmue.2016.11.12.18.

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31

Gracias, S., and V. U. Reddy. "Wavelet packet based channel equalization." Sadhana 21, no. 1 (1996): 75–89. http://dx.doi.org/10.1007/bf02781789.

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H. Miry, M. "Channel Equalization Using Wavelet Denoising." Engineering and Technology Journal 25, no. 9 (2007): 1081–91. http://dx.doi.org/10.30684/etj.25.9.6.

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Diana, D. C., and R. Hema. "Swarm Intelligence Based MMSE Frequency Domain Equalization for MIMO Systems." ECTI Transactions on Electrical Engineering, Electronics, and Communications 21, no. 2 (2023): 249824. http://dx.doi.org/10.37936/ecti-eec.2023212.249824.

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The automatic upgradation of equalizer weights in channel equalization demands a low-complexity, highly accurate estimation of recovery at the minimum possible time. The low-complexity frequency domain equalization improves the minimum mean square error (MMSE) of the equalization process. Adding the superiority of particle swarm optimization (PSO) to the equalizer coefficient selection process enhances the MMSE. This work proposes frequency-domain channel equalization along with a modified PSO (MPSO) as an adaptive algorithm for equalizer weight selection in MIMO systems. The simulation result

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Veena, Prasad*1 &. Deepa T. R2. "A REVIEW ON NOISE AND ISI REDUCTION METHODS USING DIFFERENT SIGNAL PROCESSING TECHNIQUES." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES AICT 2019 (April 4, 2019): 45–51. https://doi.org/10.5281/zenodo.2629258.

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In this paper various equalization techniques are introduced for improving the performance of signal passing through a communication channel. In digital communication system, the transmitted data get corrupted due to the dispersive nature of channel and these ISI and noise are removed by equalization techniques. Mostly blind equalization method is used, since it depends upon channel assumptions. Performance of the proposed detector is evaluated using computer simulations and its bit error rate is compared with a blind equalizer and a conventional particle filter-based method. Thus bit error ra

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Sexton, T. A., and K. Pahlavan. "Channel modeling and adaptive equalization of indoor radio channels." IEEE Journal on Selected Areas in Communications 7, no. 1 (1989): 114–21. http://dx.doi.org/10.1109/49.16852.

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Jiang, Jie, Jian Zuo, and Hao Feng. "Research on Equalization Technology of Broadband Satellite Communication Channel." Journal of Physics: Conference Series 2209, no. 1 (2022): 012005. http://dx.doi.org/10.1088/1742-6596/2209/1/012005.

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Abstract Satellite channel is the representative non-linear channel with limited frequency band. The random change of the channel causes the communication stability to be affected. With the development of satellite communication technology, the bandwidth of satellite communication has increased and the data rate has also increased significantly, resulting in more serious code interference, which has become a key factor affecting communication quality. Finding an efficient equalization technology to eliminate channel inter-code interference is the key to ensuring satellite broadband communicati

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Xie, Yong Gang, and Dong Ya Shen. "A Novel Hybrid Algorithm for Equalization of WBAN Channel." Applied Mechanics and Materials 543-547 (March 2014): 1868–71. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.1868.

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Equalization technology is important in WBAN channels for resolving ISI problem. However, traditional algorithms, such as LMS and RBF are not suitable to be applied in WBAN channel, due to the fact that channels of WBAN are particularly time variable and have severe multipath effect. In this study, we proposed a novel hybrid algorithm by combining NFN and RBFN algorithms. Experimental results show better performance compared to both NFN and RBFN algorithms in prediction problem in WBAN Channels.

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D.C., Diana, and Joy Vasantha Rani S.P. "Novel cat swarm optimization algorithm to enhance channel equalization." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 1 (2017): 350–63. http://dx.doi.org/10.1108/compel-08-2015-0289.

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Purpose Adaptive equalization plays an important role in digital communication to reduce the distortions due to inter-symbol interference. An adaptive filter is used as an equalizer model in channel equalization. An adaptive algorithm is the heart of the adaptive filter which finds the optimum coefficients of the filter. The choice of the adaptive algorithm improves the convergence rate and minimizes the mean square error (MSE). This paper aims to propose a cat swarm optimization (CSO)-based adaptive algorithm and its modification to improve the performance of a channel equalizer. Design/metho

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Cuc, Adriana-Maria, Florin Lucian Morgoș, Adriana-Marcela Grava, and Cristian Grava. "Iterative Equalization and Decoding over an Additive White Gaussian Noise Channel with ISI Using Low-Density Parity-Check Codes." Applied Sciences 13, no. 22 (2023): 12294. http://dx.doi.org/10.3390/app132212294.

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In this article we present an iterative system of equalization and decoding to manage the intersymbol interference over an additive white Gaussian noise (AWGN) channel. Following the classic turbo equalization scheme, the proposed system consists of low-density parity-check (LDPC) coding at the transmitter side; we applied a Log maximum a posteriori probability (Log-MAP) equalizer and min-sum LDPC decoding at the receiver side. The equalizer and decoder, linked through interleaving and deinterleaving, iteratively update each other’s information. We performed the performance analysis of the pro

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Guo, Huanan, Yufeng Yao, Jiazhen Ni, and Xiang Gao. "A 112 Gbps DSP-based PAM4 SerDes receiver with a wide band equalization tuning AFE in 7 nm FinFET." Journal of Semiconductors 46, no. 6 (2025): 062204. https://doi.org/10.1088/1674-4926/25030001.

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Abstract In DSP-based SerDes application, it is essential for AFE to implement a pre-ADC equalization to provide a better signal for ADC and DSP. To meet the various equalization requirements of different channel and transmitter configurations, this paper presents a 112 Gbps DSP-Based PAM4 SerDes receiver with a wide band equalization tuning AFE. The AFE is realized by implementing source degeneration transconductance, feedforward high-pass branch and inductive feedback peaking TIA. The AFE offers a flexible equalization gain tuning of up to 17.5 dB at Nyquist frequency without affecting the D

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Wang, Wen Bin, Dao Yuan Liu, and Yu Qin Yao. "Research of Equalization Technology Based on Matlab." Applied Mechanics and Materials 513-517 (February 2014): 3786–89. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.3786.

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In the modern digital communication system, inter-symbol interference (ISI) caused by the imperfectness of the channel is a major factor that degrades the performance of communication. In order to decrease the influence of ISI and improve communication quality, people usually use equalization technology. Generally, channel response is changing over time, so the adaptive equalizer is necessary. This paper firstly introduced the theoretical foundation and realization method of the adaptive equalization system. Then discuss the LMS algorithm. Finally, the SIMULINK tool is used to build a communic

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Zuo, Xiaoyan, Li Pei, Bing Bai, et al. "Design and Research of Photonic Reservoir Computing for Optical Channel Equalization." Photonics 12, no. 5 (2025): 437. https://doi.org/10.3390/photonics12050437.

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In this paper, photonic reservoir computing chip architectures for noise equalization in optical fiber communication channels are proposed. These architectures leverage optical computing instead of electrical computing to reduce computational pressure at the receiver and decrease processing latency. We examine the impact of factors such as the number of reservoir nodes, waveguide delay line length, and the number of input/output ports on equalization performance. We discuss the equalization ability of these architectures under various types of noise. After parameter optimization, the 36-node r

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Xu, Bo, Tianxin Min, and Chik Patrick Yue. "Design of PAM-8 VLC Transceiver System Employing Neural Network-Based FFE and Post-Equalization." Electronics 11, no. 23 (2022): 3908. http://dx.doi.org/10.3390/electronics11233908.

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Wireless communication technology adopting electromagnetic waves in an unlicensed spectrum, such as visible light, for communication has attracted wide research efforts. Visible light communication (VLC) utilizes visible light as a communication medium to transmit signals but faces a limited communication bandwidth and low data rate, which is caused by the intrinsic characteristics of LEDs. This paper first studies a mathematical model of limited bandwidth and its effect on transmitted signals and then analyzes the free space and underwater channel loss. With the theoretical analysis, a VLC tr

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Xie, Zedong, Xihong Chen, Xiaopeng Liu, and Yu Zhao. "MMSE-NP-RISIC-Based Channel Equalization for MIMO-SC-FDE Troposcatter Communication Systems." Mathematical Problems in Engineering 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/5158406.

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The impact of intersymbol interference (ISI) on single-carrier frequency-domain equalization with multiple input multiple output (MIMO-SC-FDE) troposcatter communication systems is severe. Most of the channel equalization methods fail to solve it completely. In this paper, given the disadvantages of the noise-predictive (NP) MMSE-based and the residual intersymbol interference cancellation (RISIC) equalization in the single input single output (SISO) system, we focus on the combination of both equalization schemes mentioned above. After extending both of them into MIMO system for the first tim

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Simerjeet Kaur, Dr Kamal Kumar Sharma, and Mr. Navnidhi Sharma. "Analysis of BER Improvement of Adaptive Equalizer using CE and STB code." International Journal of Research in Informative Science Application & Techniques (IJRISAT) 3, no. 6 (2019): 44–50. http://dx.doi.org/10.46828/ijrisat.v3i6.132.

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In a wireless communication channel, when the modulation bandwidth is exceeding the coherence bandwidth ISI takes place as the transmitted pulses are spread into the adjacent symbols. To combat the effects of ISI and noise and to reconstruct the signal and minimize Bit Error Rate (BER), the adaptive channel equalizer is used at the receiver end. Various kinds of interferences in a communication channel exists like Inter symbol Interference, Multipath Interference and Additive Interference which deals with the design of an Adaptive Equalizer. The idea of the equalizer is to build filter in the

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Kumar Mohapatra, Pradyumna, Saroja Kumar Rout, Sukant Kishoro Bisoy, et al. "Application of Bat Algorithm and Its Modified Form Trained with ANN in Channel Equalization." Symmetry 14, no. 10 (2022): 2078. http://dx.doi.org/10.3390/sym14102078.

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The transmission of high-speed data over communication channels is the function of digital communication systems. Due to linear and nonlinear distortions, data transmitted through this process is distorted. In a communication system, the channel is the medium through which signals are transmitted. The useful signal received at the receiver becomes corrupted because it is associated with noise, ISI, CCI, etc. The equalizers function at the front end of the receiver to eliminate these factors, and they are designed to make them work efficiently with proper network topology and parameters. In the

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Zhang, Luyao, Zhongyong Wang, and Guhan Zheng. "OF-FSE: An Efficient Adaptive Equalization for QAM-Based UAV Modulation Systems." Drones 7, no. 8 (2023): 525. http://dx.doi.org/10.3390/drones7080525.

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Quadrature amplitude modulation (QAM) is one of the essential components of unmanned 1 aerial vehicle (UAV) communications. However, the output signal accuracy of QAM deteriorates dramatically and even collapses in the case of UAVs in a harsh channel environment. This is due to the fractionally spaced equalization based on the multi-modulus blind equalization algorithm being implemented prior to carrier synchronization in QAM-based UAV modulation systems. The carrier frequency offset from the harsh channel signal thus contributes to the significantly degraded performance of MMA by suffering th

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Zhao, Zhen, Shao Chuan Wu, and Shu Ying Gao. "A Direct Mode Operation Design and Simulation Applied to TD-LTE." Applied Mechanics and Materials 577 (July 2014): 998–1003. http://dx.doi.org/10.4028/www.scientific.net/amm.577.998.

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This paper offers a DMO (direct mode operation) design applied to TD-LTE. It can support point to point full-duplex communication in the no signal covered area and user switching according to their priority at the same time. The design divides channel into access channel and communication channel to improve the spectrum efficiency. When the SNR is higher than 16dB, the DMO design using QPSK modulation has a BER (bit error rate) reaching 10-4 under ITU-R M1225 channel B. Although at the same BER value, the SNR requirements of IFDMA has a 0.5dB lower than LFDMA, given that TD-LTE uses LFDMA and

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Rekkal, Kahina, Sara Rekkal, and Abdesselam Bassou. "Advanced hybrid algorithms for precise multipath channel estimation in next-generation wireless networks." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 1654. http://dx.doi.org/10.11591/ijece.v14i2.pp1654-1664.

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Multipath channels continue to present challenges in wireless communication for both 5G and 6G networks. A multipath channel is a phenomenon in wireless communications where signals traverse from the sender to the receiver along various paths. This end occurs due to the reflection, diffraction, and refraction of signals of various objects and structures in the environment. Such pathways can cause symbol interference in the transmitted signal, leading to communication issues. To this end, our paper proposes the integration of three algorithms: teaching-learning-based optimization (TLBO), partic

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Rekkal, Kahina, Sara Rekkal, and Abdesselam Bassou. "Advanced hybrid algorithms for precise multipath channel estimation in next-generation wireless networks." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 2 (2024): 1654–64. https://doi.org/10.11591/ijece.v14i2.pp1654-1664.

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Multipath channels continue to present challenges in wireless communication for both 5G and 6G networks. A multipath channel is a phenomenon in wireless communications where signals traverse from the sender to the receiver along various paths. This end occurs due to the reflection, diffraction, and refraction of signals of various objects and structures in the environment. Such pathways can cause symbol interference in the transmitted signal, leading to communication issues. To this end, our paper proposes the integration of three algorithms: teaching-learning-based optimization (TLBO), partic

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