Rank Reduced ESPRIT Techniques in the Estimation of Principle Signal Components

Abstract

In this paper, we present novel rank reduced ESPRIT algorithms to estimate principle signal components with low computational complexity, which can typically be applied in the high resolution identification of closely spaced wireless multipath channels. These algorithms transform the generalized eigen-problem from an original high dimensional space to a… (More)

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