Robust MIMO radar target localization via nonconvex optimization
This communication addresses the problem of robust target localization in distributed multiple-input multiple-output (MIMO) radar using possibly outlier range measurements. To achieve robustness against outliers, we construct an objective function for MIMO target localization via the maximum correntropy criterion. To deal with such a nonconvex and nonlinear function, we apply a half-quadratic optimization technique to determine the target position and auxiliary variables alternately. Especially, we derive a semidefinite relaxation formulation for the aforementioned position determination step. The robust performance of the developed approach is demonstrated by comparing with several conventional localization methods via computer simulation.
target localization nonconvex optimization multiple-input multiple-output (mimo) radar maximum correntropy criterion semidefinite relaxation nonlinear optimization non-line-of-sight (nlos)