RETRACTED ARTICLE: Antenna selection with improved group based particle swarm optimization (IGPSO) and joint adaptive beam forming for wideband millimeter wave communication

Ramya, P.; Valarmathi, R.; Poongodi, C.

doi:10.1007/s12652-020-01828-z

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…In this study, five performance evaluation indexes of the suspension system are put forward, and five objective functions are needed to be designed. Since one objective function is optimal, the other objective function is not necessarily optimal, and the optimal solutions of some objective functions are contradictory to each other, the optimization results do not necessarily have a globally optimal solution [33,34]. erefore, the final compromise solution should be selected according to the designer's preference [35,36].…”

Section: Parameter Allocation Objective Functionmentioning

confidence: 99%

Allocation Optimization of Multi‐Axis Suspension Dynamic Parameter for Tracked Vehicle

Ling

Dai

He³

et al. 2021

Complexity

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The dynamic parameter allocation of the suspension system has an important influence on the comprehensive driving performance of the tracked vehicle. Usually, the allocation of suspension parameters is based on a single performance index, which has the disadvantage of not being able to achieve multi-performance optimization. Therefore, a novel optimization method using multi-performance index-oriented is presented. Firstly, considering the vertical vibration excitation caused by road roughness, the input (excitation) model of road roughness is embedded to establish the parametric dynamic model of the tracked vehicle. Then, the evaluation index and its quantitative algorithm, which reflect the multi-aspect performance of the suspension system, are proposed. Moreover, the parameter allocation objective function based on multi-index information fusion is designed. Finally, two allocation optimization methods are presented to solve the parameter allocation, i.e., equal weight allocation and expert knowledge-based weight allocation. By comparing the results obtained by the two methods, it is found that the performance of the suspension system can be improved effectively by optimizing the parameters of suspension stiffness and damping. Furthermore, the optimization of weight allocation based on expert knowledge is more effective. These provide a better knowledge reference for suspension system design.

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Section: Parameter Allocation Objective Functionmentioning

confidence: 99%

Allocation Optimization of Multi‐Axis Suspension Dynamic Parameter for Tracked Vehicle

Ling

Dai

He³

et al. 2021

Complexity

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“…Mutual coupling (MC) effect on MIMO system or antenna arrays can be compensated either by the use of various stochastic optimization techniques or through various decoupling techniques. Stochastic optimization techniques are used to improve MIMO system parameters like channel capacity [1], energy and spectra efficiency [2], MIMO parameter optimization [3], MIMO antenna selection [4], designing and calibrating [5], and increase data throughput [6]. Researchers have investigated the effects of MC on the MIMO system in [7] and various decoupling techniques, and their optimum isolation value is in [8,9].…”

Section: Introductionmentioning

confidence: 99%

Efficient Isolation Modelling for Two-Port Mimo Antenna by Gaussian Process Regression

Sharma¹,

Pandey²

2021

PIER C

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This article presents a synthesis modelling of isolation in a diamond-shaped fractal electromagnetic band gag (DSFEBG) based two-port multiple input and multiple-output (MIMO) antenna using the Gaussian Process Regression (GPR). A compact two-port MIMO antenna with 0.140λ inter-element spacing is considered for isolation improvement. To predict mutual coupling in two-port MIMO antenna supervised learning-based regression technique of GPR, the model is trained with 50 samples and tested on 125 samples. The model performs result prediction in less than 1 second with RMSE less than 0.0001%. For a better understanding of the isolation between elements of the MIMO antenna, the automatic relevance determination property of GPR is presented. The proposed model does faster computation and is efficient in predicting isolation in DSFEBG based antennas for lower and high-frequency bands of 5G communication system.

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Hybrid Optimization Approach for Adaptive Beamforming in Smart Antenna System

Samal

Sahoo

Das

2022

Lecture Notes in Networks and Systems

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RETRACTED ARTICLE: Antenna selection with improved group based particle swarm optimization (IGPSO) and joint adaptive beam forming for wideband millimeter wave communication

Cited by 7 publications

References 24 publications

Allocation Optimization of Multi‐Axis Suspension Dynamic Parameter for Tracked Vehicle

Allocation Optimization of Multi‐Axis Suspension Dynamic Parameter for Tracked Vehicle

Efficient Isolation Modelling for Two-Port Mimo Antenna by Gaussian Process Regression

Hybrid Optimization Approach for Adaptive Beamforming in Smart Antenna System

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