Paper Info
Title
On Subspace Channel Estimation in Multipath SIMO and MIMO Channels
Abstract
Earlier studies showed that iterative processing at receiver may significantly improve performance in wireless communications. In particular, performance of space-time block codes (STBC) extended for frequency selective channels may be notably improved by iterative channel estimation (ICE). On the other hand, the ICE at least doubles the receiver complexity that limits its implementation in handsets. In this paper we address non-iterative blind subspace estimation based on the second order statistics (SOS), which is simpler than the iterative receiver. Accuracy and robustness of the SOS (semi-)blind estimators with respect to different channel profiles are evaluated and compared to the ICE. Based on sensitivity analysis appropriate parameters for (semi-)blind estimators are selected. It is found that the SOS semi-blind subspace methods may approach accuracy (in terms of MSE) of the TCE.
Year
DOI
Venue
2004
10.1007/978-3-540-27824-5_72
Lecture Notes in Computer Science
Keywords
Field
DocType
sensitivity analysis,wireless communication,space time block code
Multipath propagation,Subspace topology,Iterative method,Computer science,Block code,Algorithm,Communication channel,Real-time computing,Estimation theory,Statistics,Space–time block code,Estimator
Conference
Volume
ISSN
Citations 
3124
0302-9743
2
PageRank 
References 
Authors
0.42
10
1
Name
Order
Citations
PageRank
Nikolai Nefedov112010.62