Tensor-MODE for multi-dimensional harmonic retrieval with coherent sources

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

17 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)530-534
Journal / PublicationSignal Processing
Volume108
Online published24 Oct 2014
Publication statusPublished - Mar 2015

Abstract

We devise a new method of direction estimation (MODE) based multi-dimensional harmonic retrieval algorithm, which is referred to as tensor-MODE (T-MODE). It is a R-dimensional generalization of the conventional MODE and higher-order singular value decomposition is performed on the tensor observations. Asymptotic efficiency is achieved for the proposed estimator even when the source signals are highly correlated or coherent. Furthermore, the computational cost is reasonable, because it consists of polynomial rooting, followed by a combinatorial search, whereas multi-dimensional optimization is not required.

Research Area(s)

  • Higher-order singular value decomposition (HOSVD), Method of direction estimation (MODE), Multi-dimensional harmonic retrieval (HR), Tensor