Multiple Unresolved Target Localization and Tracking using Colocated MIMO Radars


During this paper localization and tracking of multiple unresolved targets employing a colocated multiple input multiple output (MIMO) radar is addressed. The commonly-used model for colocated MIMO radars is changed so as to ensure the observability in received measurements. Then, a most chance estimator is derived for localizing multiple targets falling within a sure resolution cell. The Cramer-Rao lower bound (CRLB) for localization with the new model is also derived. For the tracking part, a multiple-hypothesis-based approach is used to accommodate the uncertainty in target state estimation. Further, an unscented Kalman filter (UFK) primarily based estimator is used to tackle the nonlinearity within the measurement model. Finally, the posterior CRLB (PCRLB) comes to judge the consistency of tracking results. Simulation results ensure the prevalence of the proposed approach in resolving multiple targets over using the standard localization results for tracking.

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