Fast and effective method for low-rank interference suppression inpresence of channel errors

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