RIS-Assisted MIMO Radar Angle Estimation Algorithm Based on HOSVD

This paper addresses angle estimation in Non-Line-of-Sight (NLOS) environments using reconfigurable intelligent surface (RIS) technology. We propose a novel High-Order Singular Value Decomposition (HOSVD) methodology that exploits multidimensional signal characteristics. Simulation results demonstrate our algorithm significantly outperforms existing techniques in low signal-to-noise ratio (SNR) conditions with limited samples. The proposed HOSVD-based framework offers a significant advancement for robust angle estimation in complex propagation environments where traditional methods often struggle.