Xinyu Zhu, Jianbo Ma, Zibo Zhou

Liaoning Technical University

Abstract：

This paper proposes a high-precision diagnostic method for array antenna fault units using an opposition driven adaptive flower pollination algorithm (ODA-FPA) based on the opposition strategy. By using the adversarial learning strategy to expand the initial solution to overcome the sensitivity of initial values, and using dimensional information to guide parameter adaptation, it can avoid the "dimensional trap". This article applies the ODA-FPA algorithm to array antenna fault diagnosis. By inverting the excitation amplitude distribution characteristics of the radiation pattern, a binary decision model for fault units is established to achieve accurate positioning of fault units. The experimental results show that the convergence efficiency and fault diagnosis accuracy of the ODA-FPA algorithm are superior to those of the ABC algorithm and FPA algorithm, verifying its robustness and engineering practicality in complex electromagnetic field inversion problems.

Key Words：

FPA algorithm; array antenna; fault diagnosis; adaptive parameters; adversarial strategy