Conference
An Information Geometric Approach to Channel Identification
Abstract
In this paper, the semi-blind MIMO channel identification problem is modelled as a stochastic maximum likelihood estimation problem and an iterative method, called information geometric identification (IGID), for channel identification and tracking is presented. The method is developed based on the results from information geometry; specifically, the alternating projections theorem first proved by Csiszar [1]. It is demonstrated that the …
Authors
Zia A; Reilly JP; Shirani S
Volume
4
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2004
DOI
10.1109/icassp.2004.1326967
Name of conference
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing