DocumentCode
394027
Title
Blind channel tracking for long-code WCDMA with linear interpolation model
Author
Sung, Youngchul ; Tong, Lang
Author_Institution
Sch. of Electr. & Comput. Eng., Cornell Univ., New City, NY, USA
Volume
1
fYear
2002
fDate
3-6 Nov. 2002
Firstpage
694
Abstract
A new technique for tracking of fast fading channels in long code CDMA is proposed, exploiting multipath diversity of mobile channels. Based on linear interpolation model, the proposed method blindly estimates the channel coefficients at the selected positions within a slot up to a scale factor and tracks the time-varying channel using an interpolation. The unknown scale factor can be resolved using only one pilot symbol that increases the bandwidth efficiency. The proposed method can be implemented using several front-ends including the conventional matched filter, decorrelator, and regularized decollerator. A new identifiability condition is established and the performance of the proposed method is assessed through the mean square error and bit error rate.
Keywords
broadband networks; channel estimation; code division multiple access; diversity reception; error statistics; fading channels; interpolation; mean square error methods; mobile radio; multipath channels; time-varying channels; tracking; bandwidth efficiency; bit error rate; blind channel tracking; channel coefficients; decorrelator; fast fading channels; linear interpolation model; long-code WCDMA; matched filter; mean square error; mobile channels; multipath diversity; pilot symbol; regularized decorrelator; time-varying channel; Bandwidth; Code division multiplexing; Decorrelation; Delay; Fading; Interpolation; Matched filters; Mobile computing; Multiaccess communication; Time-varying channels;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7576-9
Type
conf
DOI
10.1109/ACSSC.2002.1197270
Filename
1197270
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