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Robust Adaptive Beamforming
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Author(s): Zhu Liang Yu (Nanyang Technological University, Singapore), Meng Hwa Er (Nanyang Technological University, Singapore), Wee Ser (Nanyang Technological University, Singapore)and Chen Huawei (Nanyang Technological University, Singapore)
Copyright: 2009
Pages: 27
Source title:
Handbook on Advancements in Smart Antenna Technologies for Wireless Networks
Source Author(s)/Editor(s): Chen Sun (ATR Wave Engineering Laboratories, Japan), Jun Cheng (Doshisha University, Japan)and Takashi Ohira (Toyohashi University of Technology, Japan)
DOI: 10.4018/978-1-59904-988-5.ch002
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Abstract
In this chapter, we first review the background, basic principle and structure of adaptive beamformers. Since there are many robust adaptive beamforming methods proposed in literature, for easy understanding, we organize them into two categories from the mathematical point of view: one is based on quadratic optimization with linear and nonlinear constraints; the another one is max-min optimization with linear and nonlinear constraints. With the max-min optimization technique, the state-of-the-art robust adaptive beamformers are derived. Theoretical analysis and numerical results are presented to show their superior performance.
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