Title
A least-/ mean-squares approach to channel identification and equalization in OFDM.
Abstract
This work proposes an iterative least-/ mean-squares approach to channel identification and equalization in OFDM. This is achieved by exploiting the natural constraints imposed by the channel (sparsity and maximum delay spread) and those imposed by the transmitter (pilots, cyclic prefix, and the finite alphabet constraint). These constraints are used to reduce the number of pilots needed for channel and data recovery and also to perform this task within one packet. The diagonal nature of the OFDM channel makes it possible to perform optimal (nonlinear) mean-square detection of the data.
Year
DOI
Venue
2002
10.1109/ICASSP.2002.5745174
ICASSP
Keywords
Field
DocType
indexes,heating,ofdm,least mean square,tin
Least mean squares filter,Transmitter,Mathematical optimization,Cyclic prefix,Equalization (audio),Computer science,Network packet,Delay spread,Communication channel,Orthogonal frequency-division multiplexing
Conference
Volume
ISSN
ISBN
3
1520-6149
0-7803-7402-9
Citations 
PageRank 
References 
1
0.39
1
Authors
4
Name
Order
Citations
PageRank
Tareq Y. Al-Naffouri1969108.71
Ghazi Al-Rawi2141.81
Ahmad Bahai360265.90
Arogyaswami Paulraj46894957.84