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 :
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