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Permissible support patterns for identifying the spreading function of time-varying channels

Citation Author(s):
Dae Gwan Lee, Alihan Kaplan, Volker Pohl
Submitted by:
Volker Pohl
Last updated:
13 April 2018 - 6:13am
Document Type:
Poster
Document Year:
2018
Event:
Presenters:
Volker Pohl
Paper Code:
SPTM-P5.9
 

We study support patterns for covariance matrices that appear in the problem of stochastic time-varying channel identification.
The problem reduces to solving a linear system associated with measurement matrices having the form of Kronecker product of a Gabor system matrix by itself. The measurement matrix is controlled by a window which generates the Gabor system. In this paper, we investigate support patterns of the object vector which allow existence of a window that renders the linear system solvable. We present several classes of permissible patterns and also show how the corresponding window vector needs to be chosen.

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