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Simultaneous Schur Decomposition of Several Nonsymmetric Matrices to Achieve Automatic Pairing in Multidimensional Harmonic Retrieval Problems

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Fig. 2.3-D Unitary ESPRIT for joint 2-D angle and carrier estimationMusing a URA of 2 � 2 elements and M3 = 10 (temporal) snapshots.Temporal smoothing with L=L3=8 subarrays, each containingsub= M3 � L3 + 1 = 3 snapshots, is performed along the third(temporal) dimension.
Fig. 3.3-D Unitary ESPRIT for joint 2-D angle and carrier estimation:Maximum number of frequency vectors dmax as a function of the number ofsnapshots M3 for different array sizes M1 � M2 if the number of temporalsubarrays L = L3 is chosen such that dmax is maximized.
Fig. 5.Evolution of the cost function (�) for different SNR’s (d = 4,R = 3, M1 = 2, M2 = 2, M3 = 10, N = 1).

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Simultaneous Schur Decomposition of Several Nonsymmetric Matrices to Achieve Automatic Pairing in Multidimensional Harmonic Retrieval Problems

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