Title :
Bi-iteration multiple invariance subspace tracking and adaptive ESPRIT
Author_Institution :
Dept. of Math., Passau Univ., Germany
fDate :
2/1/2000 12:00:00 AM
Abstract :
A class of adaptive bi-iteration SVD (Bi-SVD) algorithms for tracking structured subspaces of the form E_=[E EΨ1 EΨ2... EΨn-1] is introduced, where E is an N×r, N⩾r orthonormal core basis matrix, and Ψ1, Ψ2, ..., Ψn-1 is a set of r×r subrotors. Structured subspaces of this kind arise in all forms of multiple invariance (MI) techniques, such as MI-ESPRIT. An adaptive MI-ESPRIT algorithm using Bi-SVD MI subspace tracking is developed. Computer experiments validate the theoretical results
Keywords :
adaptive signal processing; iterative methods; parameter estimation; singular value decomposition; tracking; Bi-SVD MI subspace tracking; MI-ESPRIT; adaptive ESPRIT; adaptive MI-ESPRIT algorithm; adaptive bi-iteration algorithms; bi-iteration multiple invariance subspace tracking; computer experiments; multiple invariance techniques; orthonormal core basis matrix; signal processing; structured subspaces tracking; subrotors; Adaptive signal processing; Azimuth; Data models; Delay estimation; Least squares methods; Numerical analysis; Phased arrays; Signal processing algorithms; Smoothing methods; Two dimensional displays;
Journal_Title :
Signal Processing, IEEE Transactions on