Channel Estimation of MIMO–OFDM System Using PSO and GA

Vidhya, K.; Kumar, K. Ravi

doi:10.1007/s13369-014-0988-8

Cited by 22 publications

(15 citation statements)

References 11 publications

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“…In the following step, PSO and GA were combined to select the most important features' set that more clearly represented the gender and thus the data size dimension was reduced. Vidhya and Kumar [114] proposed a hybrid technique that included PSO and GA for channel estimation in MIMO-orthogonal frequency division multiplexing (MIMO-OFDM) systems. The result showed the performance of the proposed method was better than LS and MMSE methods in all the mutation and crossover values and in all the iterations computed.…”

Section: Fpsomentioning

confidence: 99%

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Zhang

Wang

2015

Mathematical Problems in Engineering

688

380

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Particle swarm optimization (PSO) is a heuristic global optimization method, proposed originally by Kennedy and Eberhart in 1995. It is now one of the most commonly used optimization techniques. This survey presented a comprehensive investigation of PSO. On one hand, we provided advances with PSO, including its modifications (including quantum-behaved PSO, bare-bones PSO, chaotic PSO, and fuzzy PSO), population topology (as fully connected, von Neumann, ring, star, random, etc.), hybridization (with genetic algorithm, simulated annealing, Tabu search, artificial immune system, ant colony algorithm, artificial bee colony, differential evolution, harmonic search, and biogeography-based optimization), extensions (to multiobjective, constrained, discrete, and binary optimization), theoretical analysis (parameter selection and tuning, and convergence analysis), and parallel implementation (in multicore, multiprocessor, GPU, and cloud computing forms). On the other hand, we offered a survey on applications of PSO to the following eight fields: electrical and electronic engineering, automation control systems, communication theory, operations research, mechanical engineering, fuel and energy, medicine, chemistry, and biology. It is hoped that this survey would be beneficial for the researchers studying PSO algorithms.

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Section: Fpsomentioning

confidence: 99%

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Zhang

Wang

2015

Mathematical Problems in Engineering

688

380

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“…This had initially placed the particle somewhat away from the target in the search place with utmost 100 steps to achieve it. Similar approach was used by Vidhya and Shankar Kumar [21] where the channel parameters were finetuned using PSO and GA. They showed that such fine tuning produced better results than LS/MMSE estimation.…”

Section: Results and Conclusionmentioning

confidence: 99%

Performance Optimization of LS/LMMSE Using Swarm Intelligence in 3D MIMO-OFDM Systems

Bhange¹,

Dethe²

2020

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The capability of Least square (LS) and least minimum mean squared error (LMMSE) channel estimation techniques are limited due to one or two factors (inherent additive Gaussian noise and Inter Carrier Interference, higher computational complexity). These factors tend to be severe when the system grows in terms of numbers of transmitting and receiving antennas, channel parameters, noise etc. Accurate channel parameters estimation using these techniques is still not possible even with smaller Multi input multi output (MIMO) systems at higher signal to noise ratios (SNR) due to complex nature of channel parameters. Swarm Intelligence consisting of agents spread in search space having limited capabilities and random behaviour when interacts with each other and within their own locality are capable of finding solution for a complex problem. When the constructive behaviour of such particles in particle swarm optimization (PSO) within the search space limited to some constraint is applied to optimize the performance of 3D-Pilot Aided Channel Estimation (3D-PACE) of MIMO-OFDM system, results showed that the bit error rate (BER) is significantly decreased. The channel parameters at the receiver obtained using LS and LMMSE are further optimized using PSO with proper and careful setting of PSO initial parameters. Keywords:bit error rate, 3D-PACE, multi input multi output, orthogonal frequency division multiplexing, particle swarm optimization

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“…Throughout the subsequent step, PSO and GA were merged to pick the most appropriate features that accurately reflected the individual and minimized the size of the data. Vidhya and Kumar [39] developed a new channel estimates for PSO and GA multiplexing systems (MIMO-OFDM) MIMO orthogonal frequency division. In all replication, crossover values and measured iterations, studies demonstrate that it is easier than the LS and MMSE approaches the solution being suggested.…”

Section: Pso-ga Hybrid Algorithmmentioning

confidence: 99%

Evolutionary Algorithms for Real Time Engineering Problems: A Comprehensive Review

Kumar¹,

Ganesh²,

Bhoopal³

et al. 2021

ISI

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This paper presents a variety of contemporary optimization techniques inspired by the real life in nature. Optimization reveals substantial developments in computing systems as well as has come to be the most encouraging strategy for several design applications. The study is conducted on single-objective, multi-objective, and hybrid optimization strategies. These optimization schemes will be of excellent help to organizations to identify optimum criteria and to improve process as well as product high quality. For selected optimization strategies, the process of formulating the objective function/stiffness function for a minimal issue exists. Over the last few years, the most combinatoric problems of all traditional optimization approaches were solved by using metaheuristic algorithms to have optimal solutions for real-time applications. This paper discussed some of the important and feasible optimization scheme and the related algorithms and approaches.

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Channel Estimation of MIMO–OFDM System Using PSO and GA

Cited by 22 publications

References 11 publications

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

Performance Optimization of LS/LMMSE Using Swarm Intelligence in 3D MIMO-OFDM Systems

Evolutionary Algorithms for Real Time Engineering Problems: A Comprehensive Review

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