완전 디지털 능동배열 레이다를 위한 빔 도메인 국부 적응 빔 형성 기법

Abstract

Digital adaptive beamforming is applied to the radar system to ensure system performance in an interference environment. For real time application to an actual radar system with a large number of antenna elements, the dimensions of the adaptive beamforming coefficient must be reduced. In this paper, we propose a beam domain localized adaptive beamforming algorithm based on linear constrained minimum variance (LCMV) that considers system applicability while maintaining the performance of fully adaptive beamforming. Jammer detection and angle estimation are performed using a passive listening signal, and the dimensions are reduced by localizing the signal to the beam domain based on jammer information and pre-determined linear constraints. Estimation of the interference covariance matrix and adaptive beamforming are performed in the reduced beam domain to ensure real-time operation and applicability. To verify the performance of the proposed algorithm, we analyzed the results compared to the fully adaptive beamforming in terms of signal-to-interference plus noise ratio (SINR) loss and maximum side lobe level in the presence of a jamming signal.