Blind separation main lobe intermittent sampling cyclic forwarding interference resisting method based on tensor decomposition

The invention discloses a blind separation main lobe intermittent sampling cyclic forwarding interference resisting method based on tensor decomposition, which is applied to the technical field of radar anti-interference and aims to solve the problem that an existing blind separation algorithm is not suitable for all DRFM interference. The method comprises the following steps: firstly, calculating a second-order time delay correlation matrix of a plurality of received signals, and reconstructing the second-order time delay correlation matrix into a high-order tensor form; secondly, establishing an optimization problem about an array manifold matrix based on a tensor decomposition principle, and solving the optimization problem by adopting an ELS-ALS algorithm; and finally, performing left inverse and left multiplication on the array manifold matrix obtained by estimation to receive signals to obtain separated target echoes and interference signals, processing the separated target echoes to obtain target dista