Abstract
The author presents a simple and computationally effective approach for adaptive spatial interference suppression in the presence of dispersive channel errors. The new method, called lean matrix inversion (LMI), is based on a weighted projection. The corresponding interference subspace is estimated by the transformed columns of the covariance matrix.
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