2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) 2016
DOI: 10.1109/iemcon.2016.7746269
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Adaptive beamforming algorithm for interference suppression based on partition PSO

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Cited by 4 publications
(2 citation statements)
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“…where ( Taking the eigenvectors corresponding to the p larger eigenvalues as the weights, the eigenbeam of each interference can be obtained. By using the angle directivity of the eigenvectors, we can regard each eigenvector after normalization separately as a class-steering vector [32], then the corresponding interference angles…”
Section: Angle Estimation Of Interference Based On Eigenbeammentioning
confidence: 99%
“…where ( Taking the eigenvectors corresponding to the p larger eigenvalues as the weights, the eigenbeam of each interference can be obtained. By using the angle directivity of the eigenvectors, we can regard each eigenvector after normalization separately as a class-steering vector [32], then the corresponding interference angles…”
Section: Angle Estimation Of Interference Based On Eigenbeammentioning
confidence: 99%
“…Beamforming techniques are applied in numerous areas such as radar, sonar, modern communications, and medical imaging [15]. In recent years, more and more meta-heuristic algorithms have been utilized and gradually developed into novel techniques suitable for the beamforming of antenna arrays [16][17][18].…”
Section: Introductionmentioning
confidence: 99%