Array beamsteering with side lobe suppression using neural networks trained by Mutated Boolean particle swarm optimized data

Zaharias D. Zaharis, Konstantinos A. Gotsis and John N. Sahalos

Journal of Electromagnetic Waves and Applications, 2013, vol. 27, issue 7, 877-883

Abstract: A beamsteering (BS) technique applied on antenna arrays is proposed. The technique is based on neural networks (NNs) and aims at estimating the array excitation weights that produce a main lobe towards every desired signal and achieve low side lobe level (SLL). Initially, the Mutated Boolean particle swarm optimization (MBPSO) is applied to a set of random directions of incoming signals in order to estimate the excitation weights that make a uniform linear array (ULA) produce one or more main lobes towards the respective incoming signals and achieve a SLL equal to or less than a desired value. The estimated weights are then used to train a NN efficiently. The trained NN is applied to a new set of random directions of incoming signals and the derived radiation patterns are compared to respective patterns derived by the MBPSO, a differential evolution based BS technique and the maximum likelihood method. The above comparisons were performed for various SLLs and for one or two desired signals received by a ULA. In the problem, the presence of additive zero-mean Gaussian noise was assumed. The comparative results show the advantages of the proposed BS technique.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/09205071.2013.789412 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tewaxx:v:27:y:2013:i:7:p:877-883

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tewa20

DOI: 10.1080/09205071.2013.789412

Access Statistics for this article

Journal of Electromagnetic Waves and Applications is currently edited by Mohamad Abou El-Nasr and Pankaj Kumar Choudhury

More articles in Journal of Electromagnetic Waves and Applications from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().