Abstract
Reconfigurable intelligent surface (RIS) is an emerging technology for
improving the performance of wireless communications. In this letter, a
joint Squared-Sine function and atomic norm minimization (ANM), denoted
as SS-ANM, is proposed for passive sensing assisted by RIS in wireless
communication systems interfered by a wireless access point (AP). The
proposed joint optimization is used to estimate the targets’
direction-of-arrival (DOA), employing the spatial domain sparsity of the
received signals. The optimal solution is achieved from the alternating
direction method of multipliers (ADMM). With the help of the
Squared-Sine function as the cost function, the proposed solution
provides better estimation accuracy under various noises besides
Gaussian noise, and meanwhile requires a lower computation complexity.
Simulation results verify the superiority of the proposed joint
minimization over existing DOA estimation methods.