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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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The original radiation pattern, the w7 sensor damage, and recovery of five s.
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Related In: Results  -  Collection


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fig10: The original radiation pattern, the w7 sensor damage, and recovery of five s.

Mentions: Now the recovery of five s for 7th sensor failure and SSF originally at positions 19.93°, 34.88°, 45.44°,62.02°, and 68.94° is carried out and shown in Figures 10 and 11. A comparison of SLL and NDL for the recovery of five s is given in Table 6. In each case SSF produces deeper s compared to the 7th sensor failure. From simulation it is observed that we have received deeper depth of s in SSF scenarios as compared to 7th sensor failure discussed above.


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 radiation pattern, the w7 sensor damage, and recovery of five s.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig10: The original radiation pattern, the w7 sensor damage, and recovery of five s.
Mentions: Now the recovery of five s for 7th sensor failure and SSF originally at positions 19.93°, 34.88°, 45.44°,62.02°, and 68.94° is carried out and shown in Figures 10 and 11. A comparison of SLL and NDL for the recovery of five s is given in Table 6. In each case SSF produces deeper s compared to the 7th sensor failure. From simulation it is observed that we have received deeper depth of s in SSF scenarios as compared to 7th sensor failure discussed above.

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