An Efficient Distributed Arithmetic-Based Realization of the Decision Feedback Equalizer

Prakash, M. Surya; Ahamed, Shaik Rafi; Koorapati, Sagar

doi:10.1007/s00034-015-0076-7

Cited by 9 publications

(4 citation statements)

References 28 publications

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“…The equalization mechanism was further designed as an iterative mechanism that was to reduce the errors as the number of iterations was to increase synonymous with a Monte Carlo simulation for BER . Prakash et al in [9] proposed a distributed approach for equalizer design. This included the Arithmetic-Based Realization of equalizers.…”

Section: Duan Et Al Inmentioning

confidence: 99%

A Review on the Design of Equalizers for Frequency Selective Channels

Vishwakarma,

Sharma

2023

IJSREM

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Wireless channels rarely fulfill the conditions required for distortion-less transmission. sensible wireless channels suffer from the impact of a non-flat magnitude response and a non-linear section response that leads for distortions within the received signals. what is more effects liketiny scale weakening, massive scale weakening and physicist shifts cause dis- similarity between the transmitted and received signals. Wireless channels not showing the perfect impulse response ends up in the reception of multiple copies of the transmitted signal at the receiver thereby leading to entomb image Interference (ISI). A additive and cascading impact of the on top of mentioned reasons ends up inthe degraded performance of electronic communication systems. to avoid these prejudicial effects, many equalizer styles are projected.This paper focuses on the design aspects of equalizers with an inclination towards decision feedback equalizers, due to their efficiency in nullifying the detrimental effects of practical wireless channels. Keywords: Frequency Selective Channel, Equalizer, Decision Feedback Equalizer, Bit Error Rate (BER), Probability of Error (Pe), Throughput.

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Section: Duan Et Al Inmentioning

confidence: 99%

A Review on the Design of Equalizers for Frequency Selective Channels

Vishwakarma,

Sharma

2023

IJSREM

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“…the path lengths of the different users located at different locations in the cellular network [9]- [10]. The successive E is the equalizer response H is the sensed channel response…”

Section: Proposed Systemmentioning

confidence: 99%

Channel State Information Based Equalizer Design for Frequency Selective Channels

Vishwakarma,

Sharma

2023

IJSREM

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Abstract—Equalizer design is an extremely critical aspect for wireless networks. This paper presents an approach combining the decision feedback mechanism and successive signal detection to equalize frequency selective channel effects for signals traversing different run-lengths. In this approach, the errors on comparison between the transmitted signal and received signal are fed to the equalizer to adjust the tap weights. Still the irreversible nature of inter symbol interference is a huge challenge due to multi path propagation mechanisms in wireless channels. It is a common observation that signals traversing a smaller path reach the receiver earlier compared to the multi-path component traversing a longer path. Assuming similar shadowing effects, it is seen that fading effects make it difficult to accurately receive long distance MPCs, thereby degrading the BER performance. It has been shown that the proposed system attains almost similar BER performance irrespective of the shadowing effect or run length of the MPCs. Keywords— Multi Path Component (MPC), Inter Symbol Interference (ISI), Adaptive Equalizer, Channel State Information (CSI), , Bit Error Rate (BER), Probability of Error

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“…But by adding the FFF output outside the LUT in our proposed method, these limitations are overcome. 12…”

Section: Ofdm-qam Architecturementioning

confidence: 99%

Adopting a low hardware redesigned architectural design for educational environment by using DFE-based 5G communication

Kareemullah

Jose²,

Kumar

et al. 2019

International Journal of Electrical Engineering & Education

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In this paper, we adopt a proposal to reduce the complexity and increase the throughput in time domain using 5G. This is achieved by speeding up the conventional architecture in advance. Using this method, the number of coefficients of feedback filter is reduced, thus decreasing the hardware complexity. The convergence strategy and steady state error performance are also increased without any additional hardware requirements. This is based on storing the past values of decision maker in a separate look up table and updating it time to time using parallel error multiplexer. Using this method, the results are very efficient by decreasing the power, area and logic utilization of the new architecture. If we include this concept as a hands-on experience, students can learn and also optimize the architecture easily.

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An Efficient Distributed Arithmetic-Based Realization of the Decision Feedback Equalizer

Cited by 9 publications

References 28 publications

A Review on the Design of Equalizers for Frequency Selective Channels

A Review on the Design of Equalizers for Frequency Selective Channels

Channel State Information Based Equalizer Design for Frequency Selective Channels

Adopting a low hardware redesigned architectural design for educational environment by using DFE-based 5G communication

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