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Summary: PROCEEDINGS 5TH AUSTRALIAN COMMUNICATION THEORY WORKSHOP 2004 13
Rank Reduced ESPRIT Techniques in the
Estimation of Principle Signal Components
Jian Zhang, Rodney A. Kennedy and Thushara D. Abhayapala
Abstract-- In this paper, we present novel rank reduced ES-
PRIT 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
lower dimensional space depending on the number of desired
principle signals. As only principle singular values and vectors
are required, fast algorithms such as the power method can be
applied to greatly simplify the proposed algorithm and make it
implementable in real time.
Index Terms-- Rank Reduced ESPRIT, Estimation of Principle
Signal Components
I. INTRODUCTION
ESPRIT is a signal subspace algorithm using a matrix-
shifting approach to achieve high resolution identification
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