Improved Antenna Array Adaptive Beamforming With Low Side Lobe Level Using a Novel Adaptive Invasive Weed Optimization Method

Zaharis, Zaharias D.; Skeberis, Christos; Xenos, Thomas D.

doi:10.2528/pier11120202

Cited by 49 publications

(39 citation statements)

References 34 publications

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“…Inspired from the behavior of colonization of invasive weeds in nature that try to find a suitable place for growth and reproduction, the invasive weed optimization was first proposed by Mehrabian and Lucas for solving continuous optimization problems [12], has found several applications in antenna design [13][14][15][16][17] as well as array's far field pattern synthesis [18][19][20][21][22][23]. All the attempts have shown the robustness, high efficiency of the IWO.…”

Section: Description Of the Iwo-ift Methodsmentioning

confidence: 99%

Synthesis of Large Planar Thinned Arrays Using Iwo-Ift Algorithm

Wang¹,

Jiao²,

Liu³

et al. 2013

PIER

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Abstract-The iterative Fourier technique (IFT) is a high efficiency method that was proposed in recent past for the synthesis of large planar thinned arrays with isotropic radiating elements. However, the selection mechanism of IFT cannot always include the most useful elements in the "turned ON" families, which make the method trap in some local minima. Therefore, in this paper, inspired by invasive weed optimization (IWO) algorithm, a developed version of the iterative Fourier technique (IFT), IWO-IFT, is proposed for thinning large planar arrays. In this new method, the initial weeds are produced by IFT, and are further perturbed by IWO through repeatedly reproduction, dispersion, and exclusion over search space to find better weeds. Numerical results for synthesizing different circular thinned arrays demonstrated the superiority of IWO-IFT over the IFT method.

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Section: Description Of the Iwo-ift Methodsmentioning

confidence: 99%

Synthesis of Large Planar Thinned Arrays Using Iwo-Ift Algorithm

Wang¹,

Jiao²,

Liu³

et al. 2013

PIER

View full text Add to dashboard Cite

show abstract

“…A similar effect occurs in the case that the error between ideal array covariance matrix and estimated array covariance matrix is too large when the number of snapshots used to estimate the array covariance matrix is small [7,8]. Thus, many techniques called robust Capon beamformer (RCB) have been proposed to improve the robustness of the standard Capon beamformer against the DOA mismatch and estimation error of the array covariance matrix in the past decades ( [9][10][11][12][13][14][15][16], and many references therein).…”

Section: Introductionmentioning

confidence: 99%

“…For an array whose elements are symmetrically distributed, the steering vector a(θ) can be expressed in the form that is complex conjugate symmetric over the middle index as follow [13] a(θ) = Ja * (θ) (8) where ( ) * denotes the conjugate operation and J is the M × M exchange matrix defined as…”

Section: Signal Model and Problem Formulationmentioning

confidence: 99%

Magnitude Constraint Minimum Variance Beamformer With Conjugate Symmetric Constraint and Norm Constraint

Zhao¹,

Li²,

Liu³

2014

PIER M

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Abstract-In this paper, an improved robust minimum variance beamformer against direction of arrival (DOA) mismatch and finite sample effect is proposed. Multiple inequality magnitude constraints are imposed to broaden the main lobe of beampattern. The conjugate symmetric structure of the optimal weight is utilized to transform the non-convex inequality magnitude constraints into convex ones. A quadratic constraint on the norm of weight is introducing to make further improvement on robustness against DOA mismatch and finite sample effect. The proposed beamforming problem can be reformulated in the form of the second order cone programming and solved efficiently by interior point method. Simulation results show that the proposed beamformer outperforms several other adaptive beamformers.

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“…Zaharis et al [17] utilized a modified version of IWO denoted Adaptive Dispersion Invasive Weed Optimization (ADIWO) where the seeds are dispersed with a standard deviation, which is a function of the weed fitness value. Roy et al [18] used a modified IWO algorithm to design non-uniform circular antenna arrays.…”

Section: Iwo Used In Radarmentioning

confidence: 99%

Radar Angle of Arrival System Design Optimization Using a Genetic Algorithm

2017

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An approach for using a Genetic Algorithm (GA) to select radar design parameters related to beamforming and angle of arrival estimation is presented in this article. This was accomplished by first developing a simulator that could evaluate the localization performance with a given set of design parameters. The simulator output was utilized as part of the GA objective function that searched the solution space for an optimal set of design parameters. Using this approach, the authors were able to more than halve the mean squared error in degrees of the localization algorithm versus a radar design using human-selected design parameters. The results of this study indicate that this kind of approach can be used to aid in the development of an actual radar design.

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Improved Antenna Array Adaptive Beamforming With Low Side Lobe Level Using a Novel Adaptive Invasive Weed Optimization Method

Cited by 49 publications

References 34 publications

Synthesis of Large Planar Thinned Arrays Using Iwo-Ift Algorithm

Synthesis of Large Planar Thinned Arrays Using Iwo-Ift Algorithm

Magnitude Constraint Minimum Variance Beamformer With Conjugate Symmetric Constraint and Norm Constraint

Radar Angle of Arrival System Design Optimization Using a Genetic Algorithm

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