DocumentCode :
1601548
Title :
A technique to reduce inefficiencies in self ICI cancellation based OFDM systems
Author :
Peiris, B.J. ; Rajatheva, R.M.A.P. ; Tralli, V.
Author_Institution :
Texas A&M Univ., College Station, TX, USA
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
570
Abstract :
Self intercarrier interference cancellation (ICI), a half rate repetition coding scheme, is a simple and efficient technique to reduce frequency errors in OFDM. However at higher fractional frequency offset values, normalized to subcarrier separation, the self ICI cancellation scheme can no longer provide the same performance. Further due to the simple structure of repetition code, the self ICI cancellation scheme alone cannot provide much immunity to channel interference. In this paper we combine a maximum likelihood estimation technique with that scheme to get better immunity for frequency errors at higher fractional frequency offset values. This paper also discusses the possibility of application of a bandwidth efficient coding scheme for the considered cancellation scheme, to obtain the immunity to channel interference without further reducing bandwidth efficiency.
Keywords :
ICI; OFDM modulation; adjacent channel interference; error statistics; frequency estimation; interference suppression; maximum likelihood estimation; modulation coding; ICI; OFDM; bandwidth efficient coding; bit error rate; channel interference; fractional frequency offset values; frequency errors; half rate repetition coding scheme; maximum likelihood estimation; self intercarrier interference cancellation; subcarrier separation; Bandwidth; Bit error rate; Degradation; Fading; Frequency estimation; Interference cancellation; OFDM modulation; Peak to average power ratio; Wireless LAN; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2002. VTC Spring 2002. IEEE 55th
Print_ISBN :
0-7803-7484-3
Type :
conf
DOI :
10.1109/VTC.2002.1002546
Filename :
1002546
Link To Document :
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