DocumentCode :
3127289
Title :
Estimation of time-varying channels with orthogonal matching pursuit algorithm
Author :
Karabulut, Günes Z. ; Yongacoglu, Abbas
Author_Institution :
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont.
fYear :
2005
fDate :
18-19 April 2005
Firstpage :
141
Lastpage :
144
Abstract :
The adaptive matching pursuit (AMP) algorithm was proposed as a basis selection algorithm for time-varying dictionaries. We propose an adaptive orthogonal matching pursuit (AOMP) algorithm for estimation of time-varying channels with sparse impulse response samples. The performance of the AOMP algorithm is then compared with the AMP algorithm through mean squared identification error and by means of a decision feedback equalizer. It is shown, using simulation results, that the AOMP algorithm, by avoiding the re-selection problem that exists in the AMP algorithm, obtains more accurate channel estimates
Keywords :
channel estimation; decision feedback equalisers; iterative methods; mean square error methods; signal processing; time-varying channels; transient response; adaptive matching pursuit algorithm; adaptive orthogonal matching pursuit algorithm; basis selection algorithm; channel estimation; decision feedback equalizer; iteration; mean squared identification error; re-selection problem; signal decomposition; sparse impulse response samples; time-varying channels; time-varying dictionaries; Channel estimation; Computational complexity; Decision feedback equalizers; Dictionaries; Heuristic algorithms; Information technology; Matching pursuit algorithms; Pursuit algorithms; Signal resolution; Time-varying channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Wired and Wireless Communication, 2005 IEEE/Sarnoff Symposium on
Conference_Location :
Princeton, NJ
Print_ISBN :
0-7803-8854-2
Type :
conf
DOI :
10.1109/SARNOF.2005.1426532
Filename :
1426532
Link To Document :
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