OFDM signal classification in frequency selective rayleigh channels

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.