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     Research Journal of Applied Sciences, Engineering and Technology


Avoiding Self Nulling by Using Linear Constraint Minimum Variance Beamforming in Smart Antenna

1, 3Balaem Salem, 1, 2S.K. Tiong, 1S.P. Koh and 1Soodabeh Darzi
1Department of Electronics and Communication Engineering
2Center of System and Machine Intelligence Power Engineering Center, University Tenaga Nasional, Selangor 43000, Malaysia
3University of Anbar-Iraq
Research Journal of Applied Sciences, Engineering and Technology  2013  12:3435-3443
http://dx.doi.org/10.19026/rjaset.5.4590  |  © The Author(s) 2013
Received: November 09, 2012  |  Accepted: December 17, 2012  |  Published: April 10, 2013

Abstract

The beam forming technique is important in smart antenna systems to enhance the data rates, null steering and coverage. This study presents two methods of beamformeing algorithm; Minimum Variance Distortion less Response (MVDR) and Linear Constraint Minimum Variance (LCMV). MVDR and LCMV techniques form radiation beams based on the received weight vector of the desired signal. The LCMV technique is found to be efficient than the MVDR in self-null even if the interference signal is closer from the desired signal. Simulation has been carried out to validate these two techniques. The four elements of the linear array smart antenna are used in our simulation program with the operation frequency around 2.3 GHz, noise power 0.5dB and the spacing between elements is 0.5 λ. The result of the simulation reveals that both the modes are capable of providing high output power; however they need the direction of all the incoming sources, which is practically difficult to obtain. Nevertheless the MVDR beam forming minimizes the multi-path fading problem, by adding the multi-path signal, which increases the strength of the desired signal and nullifies the interference.

Keywords:

Beam forming, LCMV, MVDR,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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