DocumentCode
152390
Title
Describing the optimum pilot symbol interval via curve fitting methods in OFDM system
Author
Engiz, Begum Korunur ; Kurnaz, C. ; Sezgin, Hatice
Author_Institution
Elektrik-Elektron. Muhendisligi Bolumu, Ondokuz Mayis Univ., Samsun, Turkey
fYear
2014
fDate
23-25 April 2014
Firstpage
658
Lastpage
661
Abstract
Increasing demand on higher data rates, makes multi carrier systems popular. Orthogonal frequency division multiplexing (OFDM), a form of multicarrier modulation, has been widely applied in wireless communication systems for major advantages. In order to obtain channel state information, and overcome multipath fading channel estimation must be performed in these systems. The channel estimation quality significantly depends on the pilot pattern. In this study, the relationship between the optimum pilot symbol interval that yields the minimum channel estimation mean squared error and coherence bandwidth, coherence time at 0,9 correlation is investigated in OFDM systems for different time and frequency selective channels. Different curve fitting methods are applied to data and performances are compared in terms of normalized root mean squared errors (NRMSE). Considering both simplicity and NRMSE; the optimum pilot symbol interval is calculated by cubic polynomial in frequency direction, and by quadratic polynomial in time direction.
Keywords
OFDM modulation; channel estimation; curve fitting; fading channels; mean square error methods; multipath channels; NRMSE; OFDM systems; channel estimation mean squared error; channel state information; curve fitting; frequency selective channels; multicarrier modulation; multicarrier systems; multipath fading channel estimation; normalized root mean squared errors; optimum pilot symbol interval; orthogonal frequency division multiplexing; quadratic polynomial; wireless communication systems; Channel estimation; Coherence; Conferences; OFDM; Signal processing; Time-frequency analysis; Wireless communication; NRMSE; OFDM; channel estimation; curve fitting methods; the optimum pilot density;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830315
Filename
6830315
Link To Document