By Topic

FIM Regularity for Gaussian Semi-Blind MIMO FIR Channel Estimation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jagannatham, A.K. ; Center for Wireless Commun., California Univ., San Diego, La Jolla, CA ; Rao, B.D.

We consider the problem of semi-blind (SB) channel estimation for multiple-input multiple-output (MIMO) finite impulse response (FIR) channels. We motivate a Fisher information matrix (FIM) based analysis of the semi-blind estimation problem and demonstrate that the semi-blind FIM can be written as the sum of a blind FlM JB and training symbol FTM Jt. We show that the blind FIM JB is rank deficient and establish the minimum number of training symbols necessary to achieve regularity (full-rank) of the FIM for identifiability. We also illustrate that an SB scheme can potentially be very efficient compared to an exclusively training based scheme since it estimates very few un-constrained parameters. It is then demonstrated that the rank deficiency of the FIM for an irreducible MIMO FIR channel arises because of a unitary (rotation) matrix indeterminacy. Based on this analysis a semi-blind algorithm is proposed for MIMO FIR channel estimation

Published in:

Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on

Date of Conference:

Oct. 28 2005-Nov. 1 2005