Synthesis of Subarrayed Large Linear Arrays by a Hybrid Genetic Algorithm Integrated with Convex Programming-Reference-Cited by-同舟云学术

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Synthesis of Subarrayed Large Linear Arrays by a Hybrid Genetic Algorithm Integrated with Convex Programming

Published:2022-05-19 Issue:10 Volume:41 Page:5903-5913
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Shi Quanhu,Zheng Zhi,Wang Wen-Qin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-022-02043-1.pdf

Reference27 articles.

1. S. Caorsi, A. Massa, M. Pastorino, A. Randazzo, Optimization of the difference patterns for monopulse antennas by a hybrid real/integer-coded differential evolution method. IEEE Trans. Antennas Propag. 53(1), 372–376 (2005)

2. J. Corcoles, M.A. Gonzalez, Efficient combined array thinning and weighting for pattern synthesis with a nested optimization scheme. IEEE Trans. Antennas Propag. 60(11), 5107–5117 (2012)

3. C. Cui, Y. Jiao, L. Zhang, L. Lu, H. Zhang, Synthesis of subarrayed monopluse arrays with contiguous elements using a DE algorithm. IEEE Trans. Antennas Propag. 65(8), 4340–4345 (2017)

4. S.K. Goudos, K.A. Gotsis, K. Siakavara, E.E. Vafiadis, J.N. Sahalos, A multi-objective approach to subarrayed linear antenna arrays design based on memetic differential evolution. IEEE Trans. Antennas Propag. 61(6), 3042–3052 (2013)

5. M. Grant, S. Boyd, and Y. Ye, “CVX: Matlab software for disciplined convex programming, version 2.1,” (2017). [Online]. https://www.cvxr.com/cvx

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