Enhanced Recursive Total Least Squares Method With Subspace Tracking and Noise Covariance Estimation
Abstract: In this letter, we present a novel recursive approach aimed at refining parameter estimation within the Errors-in-Variables (EIV) framework. Our method integrates the Weighted Total Least ...
Abstract: In space-time joint adaptive anti-jamming implementation, such as MVDR, LCMV, etc., the inversion of the covariance matrix is a critical step and the computation load is large. In this paper ...
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