A Linear Antenna Array Failure Correction Using Firefly Algorithm

Grewal, Narwant Singh; Rattan, Munish; Patterh, and Manjeet

doi:10.2528/pierm12101903

Cited by 34 publications

(19 citation statements)

References 16 publications

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“…It is realistic to recover the radiation pattern of a dipole antenna array system with approximately same quality without replacing the failed element by readjusting the excitations of the healthy elements of the antenna array system. Researchers have proposed various techniques to recover the array system in presence of defective elements such as an orthogonal method [1], conjugate gradient based method [2,3], applying genetic algorithm (GA) [4,5], with the hybridization of GA and fast fourier transform (FFT) [6], applying an adaptive neuronal system [7], with simulated annealing (SA) [8,9], particle swarm optimization (PSO) [10][11][12], and firefly algorithm (FA) [13,14]. These above mentioned methods are either having large number of control parameters to set for the operation or showing slow convergence characteristics.…”

Section: Introductionmentioning

confidence: 99%

A Linear Mutually Coupled Parallel Dipole Antenna Array Failure Correction Using Bat Algorithm

Grewal¹,

Rattan²,

Patterh³

2017

PIER M

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Abstract-In this work, the problem of mutually coupled dipole antenna array failure has been solved using bat algorithm by adjusting only the amplitude excitation of good array elements. The element failure causes the degradation of side-lobe power level to an improper level. A fitness function is formulated to obtain the difference between degraded side-lobe pattern and measured side-lobe pattern, and a flexible approach using bat algorithm is used to minimize this function. Numerical examples of single and multiple element failure correction under mutual coupling conditions are discussed to show the capability of this proposed approach.

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Section: Introductionmentioning

confidence: 99%

A Linear Mutually Coupled Parallel Dipole Antenna Array Failure Correction Using Bat Algorithm

Grewal¹,

Rattan²,

Patterh³

2017

PIER M

Self Cite

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“…The proposed technique is different from [3-8, 12, 13] in the sense that the authors here considered only the length and spacing of failed elements as design variables to obtain the corrected radiation pattern with desired requirements. Moreover, this technique is different from [3][4][5][6][7][8]17] in the sense that authors here considered real antennas including mutual coupling effect. In addition, coupling effect is also compensated by minimizing the return loss of the antenna elements with corrected pattern.…”

Section: Major Contribution Of the Proposed Workmentioning

confidence: 99%

“…A method for array failure correction with digitally beamforming using linear symmetrical array has been described in [5]. Antenna array failure correction using firefly, differential search and improved bat algorithm is discussed in [6][7][8]. A comprehensive study of the mutual coupling that exists in antenna arrays has been discussed by various researchers [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Failure Correction of Linear Antenna Array by Changing Length and Spacing of Failed Elements

Patidar¹,

Mahanti²

2017

PIER M

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Abstract-This paper presents a new approach for linear antenna array failure correction using geometry optimization of the failed antenna elements. It is done by changing the length and spacing of failed elements while the spacing and length of remaining elements are fixed. The flower pollination algorithm based on the characteristic of flowering plants has been used to correct the radiation pattern of linear antenna array with desired side lobe level and minimum return loss. Simulations are performed using Matlab. Two examples are given to show the effectiveness of the proposed method. In addition, the obtained results from simulation on Matlab are also validated by the results obtained from FEKO analysis.

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“…, adaptive neural system 20 , simulated annealing (SA) 21 , firefly algorithm (FA) 22 and hybrid methods 23 . Some stochastic approaches have been also proposed to solve the problem of antenna array along A Linear Antenna Array Failure Correction with Null Steering using Firefly Algorithm with null steering problem using simulated annealing (SA) 24 , particle swarm optimization (PSO) 25 and hybrid method 26 .…”

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confidence: 99%

A Linear Antenna Array Failure Correction with Null Steering using Firefly Algorithm

Grewal¹,

Rattan²,

Patterh³

2014

DSJ

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AbSRTACTThe element failure of digital beam forming array antenna systems used in defence equipment increases the side lobe power level which distorts the beam pattern of the antenna array. The problem of array failure correction becomes more complex when null steering conditions are required to be added. In this paper, the problem of linear antenna array failure has been addressed with multiple wide band null steering using firefly algorithm (FA) by controlling the amplitude and phase excitation of array elements. A fitness function in the form of template has been formulated to obtain the error between original (pre-failed) side lobe pattern and measured side lobe pattern and this error function has been minimized using FA. Numerical example of element failure correction of element failure of array along with multiple nulls is presented to show the capability of this flexible approach.

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A Linear Antenna Array Failure Correction Using Firefly Algorithm

Cited by 34 publications

References 16 publications

A Linear Mutually Coupled Parallel Dipole Antenna Array Failure Correction Using Bat Algorithm

A Linear Mutually Coupled Parallel Dipole Antenna Array Failure Correction Using Bat Algorithm

Failure Correction of Linear Antenna Array by Changing Length and Spacing of Failed Elements

A Linear Antenna Array Failure Correction with Null Steering using Firefly Algorithm

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