Design thinned arrays using genetic algorithm-enhanced density-tapered method

Jiahao Tian; Wenhao Dong; Jianxiong Zhou

doi:10.1117/12.2624751

13 December 2021 Design thinned arrays using genetic algorithm-enhanced density-tapered method

Jiahao Tian, Wenhao Dong, Jianxiong Zhou

Proceedings Volume 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021); 120870V (2021) https://doi.org/10.1117/12.2624751
Event: International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 2021, Kunming, China

Abstract

This paper proposes a genetic algorithm-enhanced density-tapered method to design linear thinned arrays with low peak sidelobe level (PSLL). This method can reduce the randomness of PSLL of the array designed by density-tapered method and the number of independent variables when using genetic algorithm to optimize the position of array element. The numerical validation, carried out in the far-field and for narrow-band signals, points out that using the proposed method to design thinned array can obtain lower PSLL than the original density-tapered method.

Citation Download Citation

Jiahao Tian, Wenhao Dong, and Jianxiong Zhou "Design thinned arrays using genetic algorithm-enhanced density-tapered method", Proc. SPIE 12087, International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021), 120870V (13 December 2021); https://doi.org/10.1117/12.2624751

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available