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PIER PIER B PIER C PIER M PIER Letters
2012-01-17
Improved Antenna Array Adaptive Beamforming with Low Side Lobe Level Using a Novel Adaptive Invasive Weed Optimization Method
By
Zaharias D. Zaharis,

    Dr. Zaharias D. Zaharis

    Telecommunications Centre

    Aristotle University of Thessaloniki

    Greece

    Homepage

Christos Skeberis,

    Dr. Christos Skeberis

    Department of Electrical and Computer Engineering

    Aristotle University of Thessaloniki

    Greece

    Homepage

Thomas Xenos

    Dr. Thomas Xenos

    Department of Electrical and Computer Engineering

    Aristotle University of Thessaloniki

    Greece

    Homepage

Progress In Electromagnetics Research, Vol. 124, 137-150, 2012
doi:10.2528/PIER11120202
Abstract
An improved adaptive beamforming technique of antenna arrays is introduced. The technique is implemented by using a novel Invasive Weed Optimization (IWO) variant called Adaptive Dispersion Invasive Weed Optimization (ADIWO) where the seeds produced by a weed are dispersed in the search space with standard deviation specified by the fitness value of the weed. The adaptive seed dispersion makes the ADIWO converge faster than the conventional IWO. This behavior is verified by applying both the ADIWO and the conventional IWO on well-known test functions. The ADIWO method is utilized here as an adaptive beamformer that makes a uniform linear antenna array steer the main lobe towards the direction of arrival (DoA) of a desired signal, form nulls towards the respective DoA of several interference signals and achieve low side lobe level (SLL). The proposed ADIWO based beamformer is compared to a Particle Swarm Optimization (PSO) based beamformer and a well known beamforming method called Minimum Variance Distortionless Response (MVDR). Several cases have been studied with different number of interference signals and different power level of additive zero-mean Gaussian noise. The results show that the ADIWO provides sufficient steering ability regarding the main lobe and the nulls, works faster than the PSO and achieves better SLL than the PSO and MVDR.
Citation
Zaharias D. Zaharis, Christos Skeberis, and Thomas Xenos, "Improved Antenna Array Adaptive Beamforming with Low Side Lobe Level Using a Novel Adaptive Invasive Weed Optimization Method," Progress In Electromagnetics Research, Vol. 124, 137-150, 2012.
doi:10.2528/PIER11120202
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