DocumentCode :
3225688
Title :
A Method for Blind Detection of OFDM Signal Based on Power Spectrum Reprocessing
Author :
Zhang Hai-ying ; Yuan Chao-wei
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing
Volume :
2
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
181
Lastpage :
186
Abstract :
A method for blind detection of OFDM signal based on power spectrum reprocessing is presented for distinguishing OFDM signal and single carrier modulation signals. The method takes full advantage of cryptic period of OFDM signal and enhances its ability for processing through power spectrum pretreatment, and has strong ability to suppress additive interference and is applicable to frequency selectivity fading channel and accurately estimate subcarrier frequency interval, symbol period, signal bandwidth and subcarrier number of OFDM signal. The simulation result shows that the new method is able to detect OFDM signals rapidly and accurately in condition of relatively low signal-noise ratio, and achieves high identification probability, has high adaptability for frequency selectivity fading channel, and has also low computational complexity, high precision, and is suitable for hardware implement.
Keywords :
OFDM modulation; cryptography; fading channels; interference suppression; radiofrequency interference; signal detection; OFDM signal; additive interference suppression; blind detection; cryptic period; frequency selectivity fading channel; power spectrum pretreatment; power spectrum reprocessing; signal bandwidth; signal-noise ratio; subcarrier frequency interval; symbol period; Adaptive signal detection; Bandwidth; Computational complexity; Computational modeling; Fading; Frequency estimation; Interference suppression; OFDM modulation; Signal detection; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
Type :
conf
DOI :
10.1109/SNPD.2007.77
Filename :
4287674
Link To Document :
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