Planar Antenna Array Control With Genetic Algorithms and Adaptive Array Theory

Massa, Andrea; Donelli, Massimo; Natale, Francesco G. B. De; Caorsi, S.; Lommi, Andrea

doi:10.1109/tap.2004.837523

Cited by 49 publications

(32 citation statements)

References 8 publications

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“…To date, many beam forming and pattern synthesis approaches have been developed by researchers [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The first approach in which the transmitting pattern design in general is investigated is well-known analytic function method, such as Chebyshev and Taylor pattern synthesis.…”

Section: Introductionmentioning

confidence: 99%

A Steerable Least Square Approach for Pattern Synthesis

Chen¹,

Yin²,

Jiao³

2017

PIER M

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Abstract-The least square method has been widely applied in many fields. However, when the approach is used for antenna array pattern synthesis, it is not excellent. In this paper, the least square method is used to synthesize antenna array pattern, and its performance is reviewed. Then contraposing to the shortcoming of the least square method, a new steerable least square (SLS) method is put forward. For an antenna array whose manifold matrix has been determined, the projection matrix equation can be derived from array manifold matrix easily. In order to get premium solution of array element excitation, a novel projection matrix equation with adjustable matrices is adopted. The results of simulations show that the pattern synthesized by the traditional least square method fits the targeted pattern badly and is worse in the key performance indicators of peak level of side-lobe and null beam level than the targeted pattern; however, the pattern synthesized by the new SLS method fits the targeted pattern well in zero point and local peak distribution and is better in the key performance indicators of peak level of side-lobe and null beam level than the targeted pattern.

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Section: Introductionmentioning

confidence: 99%

A Steerable Least Square Approach for Pattern Synthesis

Chen¹,

Yin²,

Jiao³

2017

PIER M

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“…However, generation of cosec 2 beam and pencil beam using a common set of discrete elements amplitudes often faces high side lobe with large ripple problem. Several approaches reported in the literature for generating beam patterns are as follows [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…Chatterjee et al developed a method based on GSA for finding out optimum sets of 4-bit radial amplitudes and 5-bit phases to generate dual beams such as pencilpencil, pencil-flattop and flattop-flattop of the concentric ring array antenna [8]. A noble method to eliminate interfering signals adaptively for planar array antenna using customized genetic algorithm was proposed by Massa et al [9]. Mandal et al proposed a method of synthesizing dual radiation patterns, flattop and pencil from a rectangular planar array antenna using evolutionary algorithm [10].…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Dual Beam Pattern of Planar Array Antenna in a Range of Azimuth Plane Using Evolutionary Algorithm

Mandal¹,

Tewary²,

Kola³

et al. 2016

PIER Letters

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Abstract-In this paper a pattern synthesis method based on Differential Evolution Algorithm (DE) is presented to generate dual beam patterns from a planar array of isotropic antennas. These are cosec 2 pattern and pencil beam pattern. These patterns are obtained by finding out an optimum set of common elements amplitude (for cosec 2 pattern as well as a pencil beam pattern), and a set of phases, for cosec 2 pattern only. 4-bit discrete amplitudes and 5-bit discrete phases are used to reduce the design complexity of feed network. The beam patterns have been generated in two different azimuth planes instead of one particular plane. The evaluated excitations are also verified by considering a range of arbitrarily chosen azimuth planes, where the patterns are generated with some minor variations of the desired parameters. Obtained results clearly established the effectiveness of the proposed method.

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“…Several evolutionary algorithms such as the Genetic algorithms (GA) and the Particle-Swarm Optimization (PSO) have shown to be effective in implementation for the PAB technology [19,21]. In general, the GA/PSO approach is constrained to making small (or fixed) amplitude and small phase perturbations at each element [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Beamforming Algorithms for Cancellation of Multiple Interference Signals

Ong¹

2015

PIER M

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Abstract-This paper proposes a fast Minimum-Variance-Distortionless-Response (MVDR) beamforming algorithm for an antenna array for cancellation of multiple interference signals. The proposed algorithm uses Sample-Average Estimate (SAE) of the data covariance matrix and reduces its computational effort by applying the Matrix-Inversion-Lemma (MIL) to its covariance Matrix Inversion (MI) operation. The proposed algorithm is compared to two SAE-based algorithms: the Sample Matrix Inversion (SMI) algorithm that requires an MI operation and the Auxiliary Vector (AV) algorithm that does not need an MI operation. A non-SAE based algorithm using the Least Mean Square (LMS) method is also included for comparison. Simulation results show that the proposed algorithm converges slower than the SMI scheme but outperforms the AV and LMS schemes during the transient phase. Once convergence is achieved, the proposed algorithm converges to a better Mean Square Error than the rest of the algorithms evaluated.

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Planar Antenna Array Control With Genetic Algorithms and Adaptive Array Theory

Abstract: International audienc

Cited by 49 publications

References 8 publications

A Steerable Least Square Approach for Pattern Synthesis

A Steerable Least Square Approach for Pattern Synthesis

Synthesis of Dual Beam Pattern of Planar Array Antenna in a Range of Azimuth Plane Using Evolutionary Algorithm

Adaptive Beamforming Algorithms for Cancellation of Multiple Interference Signals

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