A Sequential Subspace Method for Blind Identification of General FIR MIMO Channels
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
Collections
Source
IEEE Transactions on Signal Processing
Type
Journal article