Research on the optimal design method of array element distribution and frequency offset based on frequency diverse array-multiple input multiple output

Yang Chen; Bo Tian; Chunyang Wang

doi:10.1117/12.2660761

16 December 2022 Research on the optimal design method of array element distribution and frequency offset based on frequency diverse array-multiple input multiple output

Yang Chen, Bo Tian, Chunyang Wang

Author Affiliations +

Proceedings Volume 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022); 125004J (2022) https://doi.org/10.1117/12.2660761
Event: 5th International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 2022, Chongqing, China

Abstract

The antenna pattern of Frequency Diverse Array-Multiple Input Multiple Output (FDA-MIMO) is not only affected by the array element distribution but also related to the frequency offset, but the ideal design effect cannot be achieved only by relying on one of the array element distributions and frequency offset. Based on this, this paper studies a sparse array FDA scheme using the improved genetic algorithm to optimize the array element distribution and frequency offset. The simulation results show that compared with Log-FDA and GAO-FDA, the antenna pattern of the sparse array FDA scheme optimized by the genetic algorithm for array distribution and frequency offset has a narrower main lobe, and its side lobe level also performs well. The performance of this sparse array FDA scheme is significantly better than that of Log-FDA and GAO-FDA.

Citation Download Citation

Yang Chen, Bo Tian, and Chunyang Wang "Research on the optimal design method of array element distribution and frequency offset based on frequency diverse array-multiple input multiple output", Proc. SPIE 12500, Fifth International Conference on Mechatronics and Computer Technology Engineering (MCTE 2022), 125004J (16 December 2022); https://doi.org/10.1117/12.2660761

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