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