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Blind, MIMO system estimation based on PARAFAC decomposition of higher order output tensors
Please use this identifier to cite or link to this item:
http://hdl.handle.net/1860/1534
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| Title: | Blind, MIMO system estimation based on PARAFAC decomposition of higher order output tensors |
| Authors: | Acar, Turev
Yu, Yuanning
Petropulu, Athina P. |
| Keywords: | Blind system identification
convolutive MIMO
higher order statistics
multiple-input multiple-output (MIMO)
parallel factorization (PARAFAC) |
| Issue Date: | Nov-2006 |
| Publisher: | IEEE Institute of Electrical and Electronics |
| Citation: | IEEE Transactions on Signal Processing, 54(11): pp. 4156-4168. |
| Abstract: | We present a novel framework for the identification of
a multiple-input multiple-output (MIMO) system driven by white,
mutually independent unobservable inputs. Samples of the system
frequency response are obtained based on parallel factorization
(PARAFAC) of three- or four-way tensors constructed based on,
respectively, third- or fourth-order cross spectra of the system outputs.
The main difficulties in frequency-domain methods are frequency-
dependent permutation and filtering ambiguities.We show
that the information available in the higher order spectra allows
for the ambiguities to be resolved up to a constant scaling and permutation
ambiguities and a linear phase ambiguity. Important features
of the proposed approach are that it does not require channel
length information, needs no phase unwrapping, and unlike the
majority of existing methods, needs no prewhitening of the system
outputs. |
| URI: | http://dx.doi.org/10.1109/TSP.2006.879327
http://hdl.handle.net/1860/1534 |
| Appears in Collections: | Faculty Research and Publications (ECE)
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