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 flow diagram of the cultural algorithm.
© Copyright Policy - open-access
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3926342&req=5

fig3: The flow diagram of the cultural algorithm.

Mentions: Cultural algorithms consist of three components, a population space, belief space, and a communication protocol as shown in Figure 3. First one is population space that contains the population to be evolved and the mechanisms for its estimate. The population space consists of a set of possible solutions to the problem; in our problem, the population space is DE. Second, one is a belief space that represents the bias that has been acquired by the population during its problem solving process. In CAs, the information acquired by a member of the population can be shared with the entire population. The third one is the communication protocol that is used to determine the interface between the population and the beliefs.


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 flow diagram of the cultural algorithm.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig3: The flow diagram of the cultural algorithm.
Mentions: Cultural algorithms consist of three components, a population space, belief space, and a communication protocol as shown in Figure 3. First one is population space that contains the population to be evolved and the mechanisms for its estimate. The population space consists of a set of possible solutions to the problem; in our problem, the population space is DE. Second, one is a belief space that represents the bias that has been acquired by the population during its problem solving process. In CAs, the information acquired by a member of the population can be shared with the entire population. The third one is the communication protocol that is used to determine the interface between the population and the beliefs.

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