Near-Field Beamforming Based on the Constrained Optimization

Abstract:

This paper studies the near-field beamforming. Based on near-field model, a constraint optimum beamforming algorithm is proposed. The algorithm transforms solving weight value into optimal solution searching, and obtains the optimal weight value by iterative solution. The algorithm can produce optimal beamforming under restricted mainlobe condition. Analogously, it can produce the optimal beam forming under sidelobe constraint. The algorithm can be modified appropriately depending on the desired targets to achieve the desired response control constraints. The algorithm is simple. The simulation results based on discrete uniform linear array show the validity and effectiveness of the method.

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 864-867
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.864
• Online since: December 2013
• Authors: Fei Yan Mu*, Jie Lin, Jia Fen Zhang, Jing He
• Keywords: Iterative Solution, Mainlobe Constraint, Near-Field Beamforming, Sidelobe Constraint, Uniform Linear Array

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