Performance Analysis of Differential Evolution Algorithm based Beamforming for Smart Antenna Systems

Full Text (PDF, 467KB), PP.1-9

Views: 0 Downloads: 0

Author(s)

Amara Prakasa Rao 1,* N.V.S.N.Sarma 1

1. Performance Analysis of Differential Evolution Algorithm based Beamforming for Smart Antenna Systems

* Corresponding author.

DOI: https://doi.org/10.5815/ijwmt.2014.01.01

Received: 1 May 2014 / Revised: 6 Jun. 2014 / Accepted: 3 Jul. 2014 / Published: 1 Aug. 2014

Index Terms

Array Factor, Beamforming, Differential Evolution Algorithm, Null Steering, Smart Antenna Array

Abstract

This paper presents smart antenna array beamforming using differential evolution algorithm. The excitation values of the elements in the array are smartly adjusted to control side lobe levels and placing nulls in the interference signal direction while maintaining the beam in the desired signal direction. Different cases are considered to illustrate the performance of this technique. Simulation results show that this evolution algorithm is better than the traditional beamforming algorithms for Smart antenna systems.

Cite This Paper

Amara Prakasa Rao, N.V.S.N.Sarma,"Performance Analysis of Differential Evolution Algorithm based Beamforming for Smart Antenna Systems", IJWMT, vol.4, no.1, pp.1-9, 2014. DOI: 10.5815/ijwmt.2014.01.01 

Reference

[1] J.H. Winters, “Smart Antennas for Wireless Systems,” IEEE Personal Communications, Vol.4, No.11, pp:23-27, Feb.1998.

[2] A. Tennant, Dawoud M.M, Anderson A.P, “Array pattern nulling by element position perturbations using a Genetic Algorithm,” Electron Letters, Vol.30, pp:174-176, 1994.

[3] G.K. Mahanti, Chakraborty A, Das S, “Design of fully digital controlled reconfigurable array antennas with fixed dynamic range ratio,” Journal Electromagnetic Waves Applications, Vol.21, pp:97-106, 2007.

[4] S. Yang, Gan Y.B, Qing A, “Antenna array pattern nulling using a Differential Evolution Algorithm,” Int.J RF Microwave CAE, Vol.14, pp:57-63, 2004.

[5] S.R. Muhammad, Noor M Khan, “Performance Comparison of Adaptive Beamforming Algorithms for Smart Antenna Systems,” World Applied Sciences Journal, Vol.11(7), pp:775-785, 2010.

[6] D. Karaboga, Guney K, Akdagli A, “Antenna array pattern nulling by controlling both amplitude and phase using modified touring Ant Colony Optimization Algorithm,” Int J Electron, Vol.91, pp:241-251, 2004.

[7] J.R. Perez, J.Basterrechea, “Hybrid Particle Swarm-based Algorithms and their application to linear array synthesis,” PIER 90, pp:63-74, 2009.

[8] Bao. Zheng, Renbiao, “Control of Peak Sidelobe Level in Adaptive Arrays,” IEEE Transactions on Antennas and Propagation,” Vol.44, No.10, pp:1341-1347, October 1996.

[9] H. Chao-Hsing, “Optimizing Beam Pattern of Adaptive Linear Phase Array Antennas using Local Genetic Algorithm,” IEEE Antennas and Propagation Society International Symposium, Vol.1B, pp:315-318, 2005.

[10] C.A. Balanis, “Antenna Theory Analysis and Design,” Wiley-India, Second Edition.

[11] R. Storn,K.Price, “Differential Evolution-A Simple and efficient heuristic for global optimization over continuous spaces,” Journal of Global Optimization, Vol.11, No.4, pp:341-359, 1997.

[12] K.V. Price, R.M. Storn, J.A. Lampinen, “Differential Evolution- A practical Approach to global optimization,” Springer,2005.

[13] Sk.M. Islam, S.Das, S.Ghosh, S.Roy, and P.N.Suganthan, “An Adaptive Differential Evolution Algorithm with Novel Mutation and Crossover Strategies for Global Numerical Optimization,” IEEE Transactions on systems, man, and cybernetics-part B: cybernetics, Vol.42, No.2, pp:482-500, April 2012.