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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 symmetric sensor failure.
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Related In: Results  -  Collection


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fig2: The original Chebyshev array and the w7 symmetric sensor failure.

Mentions: In this section, we develop the proposed solution based on SSF. As we had assumed the damage of w7 sensor, we lost the depth as given in Figure 1. For SSF method we also force the sensor w−7 to be zero as shown in (3). From Figure 2, it is clear that symmetric sensor failure maintains the depth almost as close to that of the original array. The damage array factor for 7th symmetrical sensor failure is given by(4)AF(θi)=∑n=−Mn≠±7Mwnexp⁡(jn(kdcos⁡θi+β)).


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 symmetric sensor failure.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig2: The original Chebyshev array and the w7 symmetric sensor failure.
Mentions: In this section, we develop the proposed solution based on SSF. As we had assumed the damage of w7 sensor, we lost the depth as given in Figure 1. For SSF method we also force the sensor w−7 to be zero as shown in (3). From Figure 2, it is clear that symmetric sensor failure maintains the depth almost as close to that of the original array. The damage array factor for 7th symmetrical sensor failure is given by(4)AF(θi)=∑n=−Mn≠±7Mwnexp⁡(jn(kdcos⁡θi+β)).

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