Abstract
We propose a simple direction-of-arrival (DOA) tracking scheme involving the projection approximation subspace tracking with deflation (PASTd)-algorithm and a Kalman filter. The DOAs are obtained via a Newton-type method initialized with the DOAs predicted by the Kalman filter. The data association is then avoided. The tracking capability of the proposed algorithm is demonstrated by computer simulations in scenarios involving targets with crossing trajectories.
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