Grating Lobe Suppression of Non-Uniform Arrays Based on Position Gradient and Sigmoid Function

Grating Lobe Suppression of Non-Uniform Arrays Based on Position Gradient and Sigmoid Function

A super-multivariate optimization algorithm is proposed to suppress the grating lobes (GLs) of non-uniform arrays. For position-only variable cases of any huge array, it is always difficult to deal with by using clustering algorithm because of thousands of variables. The proposed method achieves gra...

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Bibliographic Details
Main Authors: Xiaomin Xu, Cheng Liao, Liang Zhou, Fan Peng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Grating lobe suppression
gradient
large non-uniform arrays
optimization algorithm
sigmoid function
Online Access:https://ieeexplore.ieee.org/document/8782093/

Internet

https://ieeexplore.ieee.org/document/8782093/

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