Conference
Channel Identification and Tracking using Alternating Projections
Abstract
In this paper an iterative method for semi-blind MIMO channel identification and tracking is presented. The method is based on results from information geometry; specifically, the alternating projections theorem first proved by Csiszar [2], which provides a rigorous iterative method for stochastic maximum likelihood estimation. It is demonstrated that the proposed method has similar performance compared to a recently reported method based on …
Authors
Zia A; Reilly JP; Shirani S
Pagination
pp. 430-433
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
January 1, 2003
DOI
10.1109/ssp.2003.1289439
Name of conference
IEEE Workshop on Statistical Signal Processing, 2003