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A Sequential Subspace Method for Blind Identification of General FIR MIMO Channels

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Date

2005

Authors

An, Senjian
Manton, Jonathan
Hua, Yingbo

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers (IEEE Inc)

Abstract

This correspondence addresses the problem of blindly identifying multiple input multiple output (MIMO) finite impulse response (FIR) channels without the conventional assumption of identical column degrees. A subspace-based algorithm is developed that identifies the channel's columns sequentially from the lowest degree columns to the highest degree ones. Compared with the previous generalized subspace method by Gorokhov and Loubaton, the new method is simpler and more accurate.

Description

Keywords

Keywords: Algorithms; Blind source separation; Computer simulation; FIR filters; Linear equations; Mathematical models; Matrix algebra; Polynomials; Signal to noise ratio; Statistical methods; White noise; Blind identification; Finite impulse response (FIR) channel Blind identification; Convolutive MIMO channels; Subspace method

Citation

URI

http://hdl.handle.net/1885/84336

Collections

ANU Research Publications

Source

IEEE Transactions on Signal Processing

Type

Journal article

Book Title

Entity type

Access Statement

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DOI

10.1109/TSP.2005.855076

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