Paper Info
Title
Iterative channel estimation and equalization of STBC-OFDM system over time-varying ISI channels
Abstract
This paper presents an iterative (turbo) channel estimation and equalization when orthogonal frequency division multiplexing (OFDM) has been concatenated to space-time block code (STBC) over time-varying multipath Rayleigh fading channels. Based on Kalman filter channel estimator, soft-input-soft-output (SISO) minimum mean square error (MMSE) equalizer and a maximum posterior probability (MAP) decoder, both channel estimation and equalization can be improved for each iteration by using soft information feedback from the decoder. Computer simulations show good estimation and tracking by the Kalman filter with only a few training (pilot) symbols even when signals experience deep fading. The proposed method is shown to obtain fast channel estimation and low complexity iterative equalization which are requirements in time-varying fading channels.
Year
Venue
Keywords
2006
SPPRA
time-varying isi channel,multipath rayleigh fading channel,iterative channel estimation,stbc-ofdm system,kalman filter,low complexity iterative equalization,good estimation,block code,kalman filter channel estimator,deep fading,fading channel,channel estimation,fast channel estimation,ofdm,stbc
Field
DocType
ISBN
Equalization (audio),Fading,Computer science,Artificial intelligence,Space–time block code,Computer vision,Block code,Minimum mean square error,Algorithm,Communication channel,Kalman filter,Electrical engineering,Orthogonal frequency-division multiplexing
Conference
0-88986-580-9
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Mohamed A. S. Hassan17919.44
Bayan Sharif21638.75
W. L. Woo3121.97