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A novel signal subspace reconstruction method for multiple-input multiple-output (MIMO) radar is proposed. The developed method realises signal subspace resconstruction by the eigendecomposition of two low dimension matrixes. It provides lower computational complexity and fewer training samples compared to the full DOF method. Simulation results are given to demonstrate the effectiveness of the method.
A novel method employing an ESPRIT and Kalman filter is proposed for the one-dimensional direction finding problem of MIMO radar. The rotational invariance among the multiple equivalent virtual subarrays of MIMO radar is exploited to derive multiple estimates of the direction of each target through ESPRIT. The multiple estimates of each target are fused through a Kalman filter to refine the accuracy...
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