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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 corrected pattern with main beam pointing at 110° with recovered s.
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fig16: The corrected pattern with main beam pointing at 110° with recovered s.

Mentions: Case d. The main beam can be steered at any desired angle. If the user changes their position than the main beam can be steered in the desired direction. Figure 16 shows the corrected pattern with recovered s at main beam pointing at θs = 110°. The main beam can be steered in the direction of the desired user at any particular angle. The array factor for 2M + 1 sensors in terms of main beam direction θs is given by(17)AF(θi)=∑n=−MMwnexp⁡jnkd(cos⁡θi−cos⁡θs),where θs is the main beam direction to which it can be steered to the desired angles.


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 corrected pattern with main beam pointing at 110° with recovered s.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig16: The corrected pattern with main beam pointing at 110° with recovered s.
Mentions: Case d. The main beam can be steered at any desired angle. If the user changes their position than the main beam can be steered in the desired direction. Figure 16 shows the corrected pattern with recovered s at main beam pointing at θs = 110°. The main beam can be steered in the direction of the desired user at any particular angle. The array factor for 2M + 1 sensors in terms of main beam direction θs is given by(17)AF(θi)=∑n=−MMwnexp⁡jnkd(cos⁡θi−cos⁡θs),where θs is the main beam direction to which it can be steered to the desired angles.

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