Title :
OFDM signal classification in frequency selective rayleigh channels
Author :
Kanterakis, Emmanuel ; Su, Wei
Author_Institution :
CACI Int., Eatontown, NJ, USA
Abstract :
OFDM signal classification has become an important requirement in many cognitive radios and military systems. Implementing such a requirement under Frequency Selective Rayleigh fading is a challenging task. In this paper, we explore different blind OFDM parameter and channel estimation techniques based on Maximum Likelihood techniques and higher order signal processing to ascertain the reception of an OFDM waveform. The algorithms presented are robust to different channel fading and low signal to noise ratio environments.
Keywords :
OFDM modulation; Rayleigh channels; channel estimation; cognitive radio; maximum likelihood estimation; military communication; parameter estimation; signal classification; OFDM signal classification; OFDM waveform; blind OFDM parameter; channel estimation technique; cognitive radio; frequency selective rayleigh channel; higher order signal processing; maximum likelihood technique; military system; signal to noise ratio environment; Classification algorithms; Delay; Detectors; Maximum likelihood estimation; OFDM; Signal to noise ratio; Synchronization; Blind; Estimation; OFDM; Parameters;
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2011 - MILCOM 2011
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4673-0079-7
DOI :
10.1109/MILCOM.2011.6127612
