Paper Info
Title
Data-dependent superimposed training based channel estimation and symbol detection using Zero Correlation Zone (ZCZ) sequences
Abstract
We address the problem of channel estimation and symbol detection using data-dependent superimposed training (DDST) in the presence of dc-offset for both single-input/single-output (SISO) and multiple-input/multiple-output (MIMO) systems using a set of Zero Correlation Zone (ZCZ) sequences. The use of ZCZ sequences in the proposed method not only results in dc-offset free channel estimation but also ensures that the equalisation output is completely independent of the dc-offset. The proposed approach is shown to perform significantly better than existing methods for any value of dc-offset and hence removes the computational burden of having to estimate the unknown dc-offset.
Year
Venue
Keywords
2007
EUSIPCO
channel estimation,error statistics,mimo,siso,data-dependent superimposed training based channel estimation,dc-offset free channel estimation,symbol detection,zero correlation zone sequences,fading,bit error rate,correlation
Field
DocType
ISBN
Symbol,Control theory,Fading,Data dependent,MIMO,Communication channel,Algorithm,Correlation,Equalization,Mathematics,Bit error rate
Conference
978-839-2134-04-6
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
S. M. A. Moosvi171.61
Desmond C. McLernon216115.18