Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems

Haardt, Martin; Roemer, Florian; Del Galdo, Giovanni

doi:10.1109/tsp.2008.917929

Public

Higher-Order SVD-Based Subspace Estimation to Improve the Parameter Estimation Accuracy in Multidimensional Harmonic Retrieval Problems

Published in IEEE Transactions on Signal Processing • Jun 16, 2008

Authors:

Martin Haardt

Florian Roemer

Giovanni Del Galdo

Abstract

Multidimensional harmonic retrieval problems are encountered in a variety of signal processing applications including radar, sonar, communications, medical imaging, and the estimation of the parameters of the dominant multipath components from MIMO channel measurements. $R$-dimensional subspace-base...

Subject

Singular value decomposition

Signal subspace

Algorithm

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