DocumentCode :
2548257
Title :
A new approach to tracking time-variant channels
Author :
Gligorevic, Snjezana ; Sorger, Ulrich
Author_Institution :
Inst. for Telecommun., Darmstadt Univ. of Technol., Germany
Volume :
3
fYear :
2002
fDate :
27-30 Oct. 2002
Firstpage :
1342
Abstract :
This paper presents a method for joint channel and data estimation for transmission over frequency-selective and time-variant channels. Hereby, fast time-variant channels can be tracked, which is important for mobile communications at high velocities. We approach the problem by estimating the scattering function, which depends on delay and Doppler frequency. At the transmitter, a short training sequence is inserted at the beginning of the data block. This sequence is used for initializing a recursive estimation filter, which carries out the joint channel and data estimation adaptively. After the training sequence hypothetical data symbols are considered to extend the persecuted paths in the data tree.
Keywords :
adaptive filters; channel estimation; data communication; delay estimation; electromagnetic wave scattering; frequency estimation; least squares approximations; mobile radio; radio transmitters; recursive estimation; recursive filters; time-varying channels; tracking; Doppler frequency estimation; RLS algorithm; adaptive filter; data tree; delay estimation; frequency-selective channels; hypothetical data symbols; joint channel data estimation; mobile communications; recursive estimation filter; scattering function; time-variant channel tracking; training sequence; transmitter; Channel estimation; Degradation; Delay estimation; Equalizers; Frequency estimation; Mobile communication; Recursive estimation; Resonance light scattering; Sampling methods; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Personal Multimedia Communications, 2002. The 5th International Symposium on
ISSN :
1347-6890
Print_ISBN :
0-7803-7442-8
Type :
conf
DOI :
10.1109/WPMC.2002.1088398
Filename :
1088398
Link To Document :
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