Failure correction of linear antenna array using complex method enhanced teaching-learning based optimization algorithm

摘要

The relatively high probability of elements failure is a concerning problem for large scale phased antenna arrays, which leads to degrade the antenna?s performance significantly. The array performance degradation can be corrected by re-optimizing the array excitations. Teaching-learning based optimization (TLBO) is newly proposed swarm intelligence based evolutionary algorithm, which imitates the social behavior of teaching-learning process in the classroom. In this paper, an effective approach using complex method enhanced teaching-learning based optimization (ETLBO) algorithm is proposed for correction of antenna arrays in the presence of faulty elements. Numerical simulation results show that the proposed ETLBO algorithm having more advantages in finding global optimal solution than original TLBO algorithms. Experimental results of a 32-element phased array are presented to demonstrate that the proposed ETLBO algorithm is effective in practical engineering field.