Limits...
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.

Show MeSH

Related in: MedlinePlus

The original radiation pattern, the w7 SSF, and recovery of one .
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3926342&req=5

fig5: The original radiation pattern, the w7 SSF, and recovery of one .

Mentions: After optimization by a cultural algorithm with differential evolution (CADE), the SLL of the w7 sensor failure are reduced to −32.99 dB while due to SSF, the SLL is reduced to −28.35 dB. The recovery of one due to 7th sensor failure and SSF to its original position θ1 = 19.93° is shown in Figures 4 and 5. The comparison of recovered pattern with 7th sensor and SSF for one imposed is given in Table 3. The recovered NDL of SSF is seven dB deeper than that of 7th sensor failure.


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 SSF, and recovery of one .
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig5: The original radiation pattern, the w7 SSF, and recovery of one .
Mentions: After optimization by a cultural algorithm with differential evolution (CADE), the SLL of the w7 sensor failure are reduced to −32.99 dB while due to SSF, the SLL is reduced to −28.35 dB. The recovery of one due to 7th sensor failure and SSF to its original position θ1 = 19.93° is shown in Figures 4 and 5. The comparison of recovered pattern with 7th sensor and SSF for one imposed is given in Table 3. The recovered NDL of SSF is seven dB deeper than that of 7th sensor failure.

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