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Correction of faulty sensors in phased array radars using symmetrical sensor failure technique and cultural algorithm with differential evolution.

Khan SU, Qureshi IM, Zaman F, Shoaib B, Naveed A, Basit A - ScientificWorldJournal (2014)

Bottom Line: Three issues regarding sensor failure at any position in the antenna array are discussed.We assume that sensor position is known.Fitness function is used to minimize the error between the desired and estimated beam patterns along with constraints.

View Article: PubMed Central - PubMed

Affiliation: School of Engineering & Applied Sciences, ISRA University, Islamabad 44000, Pakistan.

ABSTRACT
Three issues regarding sensor failure at any position in the antenna array are discussed. We assume that sensor position is known. The issues include raise in sidelobe levels, displacement of s from their original positions, and diminishing of depth. The required depth is achieved by making the weight of symmetrical complement sensor passive. A hybrid method based on memetic computing algorithm is proposed. The hybrid method combines the cultural algorithm with differential evolution (CADE) which is used for the reduction of sidelobe levels and placement of s at their original positions. Fitness function is used to minimize the error between the desired and estimated beam patterns along with constraints. Simulation results for various scenarios have been given to exhibit the validity and performance of the proposed algorithm.

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Related in: MedlinePlus

The original Chebyshev array and the w7 sensor damage pattern.
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Related In: Results  -  Collection


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fig1: The original Chebyshev array and the w7 sensor damage pattern.

Mentions: It is assumed that the w7 sensor fails in the antenna array given in (3). One can clearly monitor from Figure 1 that due to single sensor failure the radiation pattern is damaged in terms of sidelobe levels, depth, and displacement of the s from their original position. So, the goal of this job is to recover the depth, sidelobe levels, and steering at their original positions. Different methods are available in the literature to correct the damage pattern of sensor failures; however, none of them is able to achieve the required depth level.


Correction of faulty sensors in phased array radars using symmetrical sensor failure technique and cultural algorithm with differential evolution.

Khan SU, Qureshi IM, Zaman F, Shoaib B, Naveed A, Basit A - ScientificWorldJournal (2014)

The original Chebyshev array and the w7 sensor damage pattern.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3926342&req=5

fig1: The original Chebyshev array and the w7 sensor damage pattern.
Mentions: It is assumed that the w7 sensor fails in the antenna array given in (3). One can clearly monitor from Figure 1 that due to single sensor failure the radiation pattern is damaged in terms of sidelobe levels, depth, and displacement of the s from their original position. So, the goal of this job is to recover the depth, sidelobe levels, and steering at their original positions. Different methods are available in the literature to correct the damage pattern of sensor failures; however, none of them is able to achieve the required depth level.

Bottom Line: Three issues regarding sensor failure at any position in the antenna array are discussed.We assume that sensor position is known.Fitness function is used to minimize the error between the desired and estimated beam patterns along with constraints.

View Article: PubMed Central - PubMed

Affiliation: School of Engineering & Applied Sciences, ISRA University, Islamabad 44000, Pakistan.

ABSTRACT
Three issues regarding sensor failure at any position in the antenna array are discussed. We assume that sensor position is known. The issues include raise in sidelobe levels, displacement of s from their original positions, and diminishing of depth. The required depth is achieved by making the weight of symmetrical complement sensor passive. A hybrid method based on memetic computing algorithm is proposed. The hybrid method combines the cultural algorithm with differential evolution (CADE) which is used for the reduction of sidelobe levels and placement of s at their original positions. Fitness function is used to minimize the error between the desired and estimated beam patterns along with constraints. Simulation results for various scenarios have been given to exhibit the validity and performance of the proposed algorithm.

Show MeSH
Related in: MedlinePlus