WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/7096,
	  title     = {Near-Field Robust Adaptive Beamforming Based on Worst-Case Performance Optimization},
	  author    = {Jing-ran Lin and  Qi-cong Peng and  Huai-zong Shao},
	  country	= {},
	  institution	= {},
	  abstract     = {The performance of adaptive beamforming degrades
substantially in the presence of steering vector mismatches. This
degradation is especially severe in the near-field, for the
3-dimensional source location is more difficult to estimate than the
2-dimensional direction of arrival in far-field cases. As a solution, a
novel approach of near-field robust adaptive beamforming (RABF) is
proposed in this paper. It is a natural extension of the traditional
far-field RABF and belongs to the class of diagonal loading
approaches, with the loading level determined based on worst-case
performance optimization. However, different from the methods
solving the optimal loading by iteration, it suggests here a simple
closed-form solution after some approximations, and consequently,
the optimal weight vector can be expressed in a closed form. Besides
simplicity and low computational cost, the proposed approach reveals
how different factors affect the optimal loading as well as the weight
vector. Its excellent performance in the near-field is confirmed via a
number of numerical examples.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {2},
	  number    = {4},
	  year      = {2008},
	  pages     = {712 - 718},
	  ee        = {https://publications.waset.org/pdf/7096},
	  url   	= {https://publications.waset.org/vol/16},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 16, 2008},
	}