Please use this identifier to cite or link to this item:
Title: Artificial immune system assisted Minimum Variance Distortionless Response beamforming technique for adaptive antenna system
Authors: Salem.s, B. 
Kiong, T.S. 
Paw, J.K.S. 
Hock, G.C. 
Issue Date: 2013
Journal: ISCI 2011 - 2011 IEEE Symposium on Computers and Informatics 2011, Article number 5958875, Pages 12-17 
Abstract: In wireless applications, the radiation pattern of adaptive antenna system is smartly formed and steered to cancel interfering signals (placing nulls) and produces a strong peak towards the desired signal according to the calculated weight vectors. This paper proposes an enhanced beamforming technique based on Minimum Variance Distortionless Response (MVDR). The Clonal selection algorithm (Clonalg) of Artificial Immune System (AIS) has been incorporated to assist MVDR to more precisely steer its beam towards desired user and forming deeper nulls at the interfering signals. The proposed algorithm has been simulated by using uniform linear antenna with multiple array elements, with 0.5λ spacing between adjacent elements and operated in the frequency of 2.3GHz with 20 dB noise power level. Simulation results show that AIS assisted MVDR adaptive beamforming technique is able to produce much better received SINR in comparison of conventional MVDR. © 2013 IEEE.
DOI: 10.1109/ISCI.2011.5958875
Appears in Collections:COE Scholarly Publication

Show full item record

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.