Adaptive subspace estimation-application to moving sources localization and blind channel identification
Christian Riou, Thierry Chonavel, Philippe Cochet · 2002
We present a new direct adaptive subspace estimation (DASE) algorithm, based on direct parametrization of the eigenvectors with their coefficients. Its application to sources localization and blind channel identification is described. We also present the study of its asymptotic performance and show the good behavior of our algorithm, compared to another adaptive algorithm based on a Givens rotations parametrization.