Abstract
The known eigendecomposition-based subspace techniques for parameter estimation of multiple signals in additive white noise or the directions of arrivals of wavefronts at an array of sensors use either the information generated from the noise subspace or the signal subspace. Here, we directly use information from both the noise and signal subspaces to estimate the parameters. Comparisons with other subspace techniques are made and an illustrative example is provided.
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