Automated Creation of Beamformer-Based Optimum DOA Estimation Algorithm Using Genetic Algorithm

作者：Yoshimura Shunsuke^*; Hirayama Hiroshi; Kikuma Nobuyoshi; Sakakibara Kunio

来源：IEICE - Transactions on Communications, 2012, E95B(10): 3332-3336.

DOI：10.1587/transcom.E95.B.3332

• array antenna
• DOA estimation
• genetic algorithm
• genetic programming
• Polish notation
• combinatorial optimization

A novel method for automatically creating an optimum direction-of-arrival (DOA) estimation algorithm for a given radio environment using a genetic algorithm (GA) is proposed. DOA estimation algorithms are generally described by parameters and operators. The performance of a DOA estimation algorithm is evaluated using root mean square error (RMSE) through computer simulations. A GA searches for the combination of parameters and operators that gives the lowest RMSE. Because a GA can treat only bit strings, Polish notation is used to convert bit strings into a DOA estimation algorithm. A computer simulation showed that the proposed method can create a new angle spectrum function. The created angle spectrum function has higher resolution than the Capon method.

• 出版日期2012-10