An Opportunistic Array Beamforming Technique Based on Binary Multiobjective Wind Driven Optimization Method

Zhang, Zhenkai; Salous, Sana; Li, Hailin; Tian, Yubo

Abstract

We present a novel binary version of multiobjective wind driven optimization (WDO) for emitted beamforming of opportunistic array radar, which is assumed as a multiobjective optimization problem. Firstly, the emitted signal model and objective functions of optimization are presented. Then the algorithm proposes a new definition of the position vector of air parcel, and brings a good discretization interpretation of continuous WDO. For multiobjective optimization, the grey relational grade (GRG) is then used to measure the similarity between the best two solutions for these two objectives. The best pressure locations with the maximum GRG will be recorded as the best two candidate solutions to the problem, and a final optimization result will be selected according to the importance of the two objectives. Finally, the proposed improved WDO has been applied for the optimal design of beamforming of the opportunistic antenna array, which needs a trade-off between the 3 dB main beam width and sidelobe level. The simulation results show that the proposed method outperforms conventional particle swarm optimization (PSO) in the optimal beamforming by achieving more reduction in the sidelobe level and saving more runtime.

Citation

Zhang, Z., Salous, S., Li, H., & Tian, Y. (2015). An Opportunistic Array Beamforming Technique Based on Binary Multiobjective Wind Driven Optimization Method. International Journal of Antennas and Propagation, 2015, Article 495879. https://doi.org/10.1155/2015/495879

• Journal Article Type: Article
• Acceptance Date: Aug 19, 2015
• Publication Date: Aug 19, 2015
• Deposit Date: Feb 11, 2016
• Publicly Available Date: Feb 15, 2016
• Journal: International Journal of Antennas and Propagation
• Print ISSN: 1687-5869
• Electronic ISSN: 1687-5877
• Publisher: Hindawi
• Peer Reviewed: Peer Reviewed
• Volume: 2015
• Article Number: 495879
• DOI: https://doi.org/10.1155/2015/495879
• Public URL: https://durham-repository.worktribe.com/output/1391711