DocumentCode :
379305
Title :
Training-based channel estimation for continuous flat fading BLAST
Author :
Sun, Qinfang ; Cox, Donald C. ; Lozano, Angel ; Huang, Howard C.
Author_Institution :
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
325
Lastpage :
329
Abstract :
The Bell Labs layered space-time (BLAST) architecture provides high capacity wireless communications in rich scattering environments. Training sequences are transmitted periodically to estimate the channel. We compare the performance without channel tracking to the performance with interpolation-based channel tracking. The optimal training interval, training length and the maximum throughput are found through computer simulations for both schemes as functions of the Doppler frequency and the number of antennas. We show that the throughput is significantly improved with channel tracking for fast continuous fading channels. However channel tracking increases the computation complexity for data detection. A sub-optimal detection algorithm with lower complexity is proposed and investigated
Keywords :
Rayleigh channels; antenna arrays; antenna theory; estimation theory; interpolation; signal detection; tracking; Bell Labs layered space-time architecture; Doppler frequency; antennas; channel tracking; computation complexity; continuous flat fading BLAST; high capacity wireless communications; interpolation-based channel tracking; maximum throughput; optimal training interval; scattering environments; sub-optimal detection algorithm; training length; training sequences; training-based channel estimation; Channel estimation; Computer architecture; Detection algorithms; Fading; Frequency; Maximum likelihood estimation; Receiving antennas; Scattering; Throughput; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 2002. ICC 2002. IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-7400-2
Type :
conf
DOI :
10.1109/ICC.2002.996869
Filename :
996869
Link To Document :
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