Elimination of two‐dimensional intersymbol interference through the use of a 9/12 two‐dimensional modulation code

Nguyen, Cu; Lee, Jaejin

doi:10.1049/iet-com.2016.0200

Cited by 10 publications

(5 citation statements)

References 22 publications

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“…In [10] presented a two-dimensional 9/12 modulation code to combat 2D ISI and achieve ~2Db gain as compared to without encoding modulation code. In [11] proposed unique word (UW) sequence which improved bandwidth efficiency, 15% throughput, and spectral efficiency 17% as compared to CP but CP-OFDM give better BER than UW-OFDM system. In [12] proposed two channel estimator in which MMSE estimator gives more complexity than the LS estimator but MMSE need low SNR and LS need high for better performance.…”

Section: Reaserch Workmentioning

confidence: 99%

Reduction of Inter-Symbol Interference Using Artifical Neural Network System in Multicarrier OFDM System

Makka¹,

Monga²,

Baghla³

2018

IJWMT

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The work proposes Inter-Symbol Interference (ISI) reduction scheme, ISI being a major problem in Optical systems, which produces various type of non-linear distortions. So the implementation of OFDM system using Artificial Neural Network (ANN) scheme with M-QAM modulation technique is proposed and compared with the conventional OFDM system without using ANN. This proposed scheme is implementation of Backpropagation (BP) algorithm over AWGN channels to achieve an effective ISI reduction in orthogonal frequency division multiplexing (OFDM) systems. Simulation results prove that ANN equalizer can further reduce ISI effectively and provide acceptable BER and better MSE plot compared to conventional OFDM system.

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Section: Reaserch Workmentioning

confidence: 99%

Reduction of Inter-Symbol Interference Using Artifical Neural Network System in Multicarrier OFDM System

Makka¹,

Monga²,

Baghla³

2018

IJWMT

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“…To alleviate the effects of ISI and ITI, a two-dimensional (2D) equalizer with a one-dimensional (1D) generalized partial response (GPR) target based on a minimum mean square error (MMSE) criterion for a BPMR system has been introduced [5,6]. Additionally, as ITI is generally more severe than ISI in a BPMR system, modulation coding schemes have been proposed to prevent the occurrence of cross-track patterns such as [−1, +1, −1] T and [+1, −1, +1] T [7,8].…”

Section: Introductionmentioning

confidence: 99%

Soft-Output Detector Using Multi-Layer Perceptron for Bit-Patterned Media Recording

Jeong

Lee

2022

Applied Sciences

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As conventional data storage systems are faced with critical problems such as the superparamagnetic limit, bit-patterned media recording (BPMR) has received significant attention as a promising next-generation magnetic data storage system. However, the reduced spacing between islands at increased areal density causes severe intersymbol and intertrack interference, which degrade BPMR system performance. In this study, we introduce a soft-output detector using multi-layer perceptron to predict reliable information. A received signal is equalized and detected by the MLP detector. The MLP detector provides a well-estimated value by using the binary-cross entropy function as a loss function and the identity function as an activation function for the output layer of the MLP detector. This study investigates the received probability distributions out of the detectors and compares the performance of various versions against a conventional detector. Compared with the conventional detection, the proposed MLP detectors provide a small variance and better BER performance than the conventional detection. Simulations of MLP designs show an advantage over conventional detection. Moreover, the proposed MLP detectors with the demodulator exhibit better BER performance than the conventional detector with the demodulator.

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“…For error-correcting codes, Nguyen and Lee proposed a 9/12 two-dimensional modulation code to avoid the isolated patterns [7]. To reduce the ITI, a rate-3/4 modulation code was proposed by Buajong and Warisarn [8].…”

Section: Introductionmentioning

confidence: 99%

Estimating Interference with a Two-Dimensional Viterbi Algorithm for Bit-Patterned Media Recording

Nguyen

Lee

2022

Applied Sciences

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Bit-patterned media recording (BPMR) is proposed as a candidate for future magnetic data storage to overcome superparamagnetism. The distance between magnetic islands in BPMR must be reduced to increase the areal density (AD). As magnetic islands become closer, two-dimensional (2D) interference is increased, including intersymbol interference (ISI) based on the down-track direction and intertrack interference (ITI) from the cross-track direction. We propose an estimator to predict interference from neighboring (upper and lower) tracks. This estimator exploits the 2D Viterbi algorithm (VA) with reduced states. We removed the interference from the neighboring track and applied a simple 1D VA to detect the received signal. The simulation results show that our model performs better than previously proposed models.

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Elimination of two‐dimensional intersymbol interference through the use of a 9/12 two‐dimensional modulation code

Cited by 10 publications

References 22 publications

Reduction of Inter-Symbol Interference Using Artifical Neural Network System in Multicarrier OFDM System

Reduction of Inter-Symbol Interference Using Artifical Neural Network System in Multicarrier OFDM System

Soft-Output Detector Using Multi-Layer Perceptron for Bit-Patterned Media Recording

Estimating Interference with a Two-Dimensional Viterbi Algorithm for Bit-Patterned Media Recording

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