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The Scientific World Journal
Volume 2014 (2014), Article ID 724639, 10 pages
http://dx.doi.org/10.1155/2014/724639
Research Article

Null Steering of Adaptive Beamforming Using Linear Constraint Minimum Variance Assisted by Particle Swarm Optimization, Dynamic Mutated Artificial Immune System, and Gravitational Search Algorithm

1Department of Electrical, Electronic & Systems Engineering, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
2Power Engineering Center & Center of System and Machine Intelligence, College of Engineering, Universiti Tenaga Nasional, 43000 Kajang, Selangor, Malaysia
3Space Science Center (ANGKASA), Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

Received 22 April 2014; Revised 2 July 2014; Accepted 2 July 2014; Published 22 July 2014

Academic Editor: Su Fong Chien

Copyright © 2014 Soodabeh Darzi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Soodabeh Darzi, Mohammad Tariqul Islam, Sieh Kiong Tiong, Salehin Kibria, and Mandeep Singh, “Stochastic Leader Gravitational Search Algorithm for Enhanced Adaptive Beamforming Technique,” PLoS One, vol. 10, no. 11, 2015. View at Publisher · View at Google Scholar
  • Yudong Zhang, Shuihua Wang, and Genlin Ji, “A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications,” Mathematical Problems in Engineering, vol. 2015, pp. 1–38, 2015. View at Publisher · View at Google Scholar
  • Fawad Zaman, Ijaz Mansoor Qureshi, Ata Ur Rehman, and Shujaat Ali Khan Tanoli, “Multiple Target Localization with Bistatic Radar Using Heuristic Computational Intelligence Techniques,” International Journal of Antennas and Propagation, vol. 2015, pp. 1–12, 2015. View at Publisher · View at Google Scholar
  • Hassan Rezai Soleymanpour, Salehin Kibria, Soodabeh Darzi, Sieh Kiong Tiong, and Mohammad Tariqul Islam, “An experience oriented-convergence improved gravitational search algorithm for minimum variance distortionless response beamforming optimum,” PLoS ONE, vol. 11, no. 7, 2016. View at Publisher · View at Google Scholar
  • Ehab Ali, Mahamod Ismail, Rosdiadee Nordin, and Nor Fadzilah Abdulah, “Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research,” Frontiers of Information Technology & Electronic Engineering, vol. 18, no. 6, pp. 753–772, 2017. View at Publisher · View at Google Scholar
  • Lan Lan, Guisheng Liao, Jingwei Xu, and Jun Wen, “Range-angle pencil-beamforming for non-uniformly distributed array radar,” Multidimensional Systems and Signal Processing, 2017. View at Publisher · View at Google Scholar
  • Chabungbam Lison Singh, K. L. Baishnab, and Ch. Anandini, “Analysis and optimization of noises of an analog circuit via PSO algorithms,” Microsystem Technologies, 2017. View at Publisher · View at Google Scholar
  • Ke Huang, Hao Lan Zhang, and Gelan Yang, “An optimized IS-APCPSO algorithm for large scale complex traffic network,” Cluster Computing, 2018. View at Publisher · View at Google Scholar
  • Aaron Hagan, Amit Sawant, Michael Folkerts, and Arezoo Modiri, “Multi-GPU configuration of 4D intensity modulated radiation therapy inverse planning using global optimization,” Physics in Medicine & Biology, vol. 63, no. 2, pp. 025028, 2018. View at Publisher · View at Google Scholar