Paper Info
Title
Subspace-Based Blind Detection Of Space-Time Coding
Abstract
Space-time coding (STC) schemes for communication systems employing multiple transmit and receive antennas have received considerable interest recently. On space-time coding, some algorithms with perfect channel state information (CSI) have been proposed. In certain fast varying situation, however, it may be difficult to estimate the channel accurately and it is natural to study the blind detection algorithm without CSI. In this paper, based on subspace, a new blind detection algorithm without CSI is proposed. Using singular value decomposition (SVD) on output Signal, noise subspace and signal subspace, which keep orthogonal to each other, are obtained. By searching the intersection of the signal subspace and the limited symbol vector set, symbol detection is achieved. The simulations illustrate that the proposed algorithm significantly improves system performance by receiving more output signals relative to transmit symbols. Furthermore, the presented algorithm is robust to the fading channel that changes between two successive blocks.
Year
DOI
Venue
2006
10.1093/ietcom/e89-b.3.853
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
DocType
Volume
space-time coding (STC), limited symbol vector set, multi-input multi-output (MIMO), subspace
Journal
E89B
Issue
ISSN
Citations 
3
0916-8516
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Zhengwei Gong181.46
Taiyi Zhang217617.60
Haiyuan Liu312.13
Feng Liu400.68