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An Efficient Adaptive Beamforming Techniquewith Pattern Control Ability

Authors: Lin Qu; Wee Ser; Zhenhai Shao; Masayuki Fujise;

An Efficient Adaptive Beamforming Techniquewith Pattern Control Ability

Abstract

In this paper, we propose an iterative algorithm, which can achieve beampattern control and adaptive beamforming at the same time. Our proposed algorithm is computationally efficient because it avoids the calculation of matrix inverse which is often required by conventional beampattern synthesis algorithms. Besides this advantage, the new algorithm is superior in being able to shape the sidelobe region which is left uncontrolled by other adaptive beamforming algorithms. Numerical results show that our proposed algorithm has the ability of nulling out interferences and maintaining a well-shaped beampattern simultaneously.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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