DOA Estimation under GNSS Spoofing Attacks Using a Coprime Array: From a Sparse Reconstruction Viewpoint

The antispoofing method using the direction-of-arrival (DOA) feature can effectively improve application security of global navigation satellite system (GNSS) receivers. In this paper, a sparse reconstruction approach based on coprime array antennas is proposed to provide reliable DOA estimation under GNSS spoofing attack. Specifically, self-coherence property genuine signals and was fully exploited construct denoised covariance matrix that enables before receiver despreading. Based this, an equivalent uniform linear (ULA) generated from constructed via virtual interpolation. By applying ideal ULA signal, preliminary results could be obtained without need for number signals. Considering technique suffers basis mismatch effects, we designed optimization problem with respect off-grid error compensate initial such performance loss reduced. Numerical examples demonstrated advantages in terms degrees-of-freedom (DOFs), resolution accuracy.