Analysis of circular arrays as smart antennas for cellular networks

Bogdan, Ion; Comsa, Ciprian R.

doi:10.1109/scs.2003.1227105

Cited by 12 publications

(8 citation statements)

References 1 publication

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“…Circular antenna arrays have recently gained much attention due to its several applications in the communication domain [37,38]. A novel memetic algorithm was proposed and its efficiency in comparison to state-ofthe-art approaches was established through extensive experimental simulations.…”

Section: Discussionmentioning

confidence: 99%

A Multi-Objective Memetic Optimization Approach to the Circular Antenna Array Design Problem

Sengupta¹,

Chakraborti

Konar

et al. 2012

PIER B

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Abstract-The paper provides a novel approach to the design of nonuniform planar circular antenna arrays for achieving maximal side lobe level suppression and directivity. The current excitation amplitudes and phase perturbations of the array elements are determined using an Adaptive Memetic algorithm resulting from a synergy of Differential Evolution (DE) and Learning Automata that is able to significantly outperform existing state-of-the-art approaches to the design problem. Moreover, existing literature considers the design problem as a singleobjective optimization task that is formulated as a linear sum of all the performance metrics. Due to the conflicting nature of the various design objectives, improvements in a certain design measure causes deterioration of the other measures. Following this observation, the single-objective design problem is reformulated as a constrained multi-objective optimization task. The proposed memetic algorithm is extended to the multi-objective framework to generate a set of non-dominated solutions from which the best compromising solution is selected employing a fuzzy membership based approach. An instantiation of the design problem clearly depicts that the multiobjective approach provides simultaneous side lobe level suppression and directivity maximization in comparison to the single-objective scenario.

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Section: Discussionmentioning

confidence: 99%

A Multi-Objective Memetic Optimization Approach to the Circular Antenna Array Design Problem

Sengupta¹,

Chakraborti

Konar

et al. 2012

PIER B

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“…Different types of antenna array CCAA [1][2][3] have become very popular in mobile and wireless communications. This very fact has driven researchers to optimize the CCAA design [13][14].…”

Section: Introductionmentioning

confidence: 99%

Concentric Circular Antenna Array synthesis using a differential Invasive Weed Optimization algorithm

Pal

Basak

Das

et al. 2010

2010 International Conference of Soft Computing and Pattern Recognition

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Concentric Circular Antenna Array (CCAA) has several interesting features that makes it indispensable in mobile and communication applications. Here we have considered a uniform arrangement of elements where the interelement spacing is kept half a wavelength. The main aim is to reduce the sidelobe levels and the primary lobe beamwidth as much as possible. Central to our design is a hybridization of two prominent metaheuristics of current interest namely the Invasive Weed Optimization (IWO) and Differential Evolution (DE). The results of the DIWO algorithm have been shown to perform better then other state-of-the-art metaheuristics like the Particle Swarm Optimization (PSO), DE and IWO.

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“…A very popular type of antenna arrays is the circular array which has several advantages over other schemes such as all-azimuth scan capability (i.e., it can perform 360 scan around its center) and the beam pattern can be kept invariant. Concentric circular antenna array (CCAA) that contains many concentric circular rings of different radii and number of elements have several advantages including the flexibility in array pattern synthesis and design both in narrowband and broadband beamforming applications [6][7][8][9][10][11][12]. CCAA is also favored in direction of arrival (DOA) applications since it provides almost invariant azimuth angle coverage.…”

Section: Introductionmentioning

confidence: 99%

Efficient Sidelobe Reduction Technique for Small-Sized Concentric Circular Arrays

Dessouky¹,

Sharshar²,

Albagory³

2006

PIER

183

128

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Abstract-Concentric circular antenna array (CCAA) has interesting features over other array configurations. A uniform arrangement of elements is assumed where the interelement spacing is kept almost half of the wavelength and the array parameters such as the steering matrix and gain are determined. The array performance such as beam power pattern, sidelobe level and beamwidth are discussed in two cases of central element feeding. The two cases are compared showing the reduction in the sidelobe level to more than 20 dB in the case of central element feeding without extra signal processing especially for smallsized arrays that have smaller number of elements and rings.

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Analysis of circular arrays as smart antennas for cellular networks

Cited by 12 publications

References 1 publication

A Multi-Objective Memetic Optimization Approach to the Circular Antenna Array Design Problem

A Multi-Objective Memetic Optimization Approach to the Circular Antenna Array Design Problem

Concentric Circular Antenna Array synthesis using a differential Invasive Weed Optimization algorithm

Efficient Sidelobe Reduction Technique for Small-Sized Concentric Circular Arrays

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