An Enhanced Tensor Factorization Approach for Monostatic MIMO Radar with Unknown Mutual Coupling

Based on a low complexity Bayesian inference estimation via tensor factorization, a novel direction finding approach for monostatic MIMO radar with unknown mutual coupling is presented. The proposed method firstly exploits the multi-linear structure of the received signal to decouple the mutual coupling influence. Then by estimating the tensor factorization via a Bayesian inference, a closed form solution of the direction of arrival is achieved. Numerical simulations carried out in a variety of settings demonstrates the validity and superiority of the proposed approach to existing methods.