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改进的低复杂度幅度相位估计波束形成算法.

Authors :
张 石
佘黎煌
闫 鑫
Source :
Journal of Northeastern University (Natural Science). Jan2019, Vol. 40 Issue 1, p16-20. 5p.
Publication Year :
2019

Abstract

To improve the imaging quality in the minimum variance method of lowcomplexity, an improved low-complexity amplitude and phase estimation beamforming algorithm was proposed. The adaptive weighted value was calculated by extracting the effective rows of the covariance matrix, where the selection of the effective number of rows was determined by a more accurate Gaussian phase coherence coefficient, which was then used to modify the weighting vector in order to reduce the complexity and ensure the quality of the imaging at the same time. Through experimental verification, the improved algorithm was compared with the original algorithm and another beamspace method to reduce the complexity, which fully proves the superiority of the improved algorithm in reducing the complexity and improving the imaging quality. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
10053026
Volume :
40
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Northeastern University (Natural Science)
Publication Type :
Academic Journal
Accession number :
134593644
Full Text :
https://doi.org/10.12068/j.issn.1005-3026.2019.01.004