DOA Estimation on Fractal-Based Array

Abstract

The paper presents a Fractal-based array geometry for the Direction of Arrival estimation performance. In general, the Uniform Linear Array (ULA) with large numbers of uniformly placed physical antennas gives accuracy in the estimation of DOA. However, it suffers highly by the Mutual Coupling (MC) between the physical elements. The steering vectors are affected which affects the DOA estimation performance. So The Fractal Array (FA) geometry arrangement followed by the Cantor set is used in this paper. It gives a reduced Mutual Coupling effect between the antenna elements as compared to ULA. The performance of DOA estimation is analyzed using model-based approach. But this paper analyzes the performance using the subspace method. The resolution of closed sources is analyzed in both ideal and non-ideal conditions using the subspace method.