Abstract
This paper proposes a synthesis method for nonuniform linear antenna arrays that combines Gaussian process regression (GPR) and genetic algorithm (GA).In this mthod, the GPR model can be used to calculate the array radiation pattern in presence of mutual coupling effects, and then the GA is used to optimize the exciations and locations of the elements, so as to generate the desired radiation pattern. In this paper, taking a 9-element nonuniform linear array as an example and the desired radiation pattern corresponding to a Chebyshev distribution as the optimization objective, Optimize the exciations and locations of the elements. Finally, the optimization results are verified by electromagnetic simulation software CST, which shows that the method is effective.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
