Automatic modulation recognition and parameter identification of orthogonal frequency division multiplexing (OFDM) play a vital role in the field of non-cooperative communication applications.A blind recognition and parameter identification called generalized cyclostationarity algorithm is proposed for OFDM in alpha stable distribution noise.Firstly

the received signal is mapped by nonlinear transformation

the analytical expressions for the generalized cyclic autocorrelation function are derived

and the generalized cyclostationarity characteristics of single carrier linear digital (SCLD) modulations and OFDM are investigated.Then

the recognition feature is structured based on generalized cyclic autocorrelation function to recognize OFDM versus SCLD signals.Finally

for the problem of blind parameter identification for OFDM

an algorithm based on generalized cyclic autocorrelation function is presented.Theoretical analysis and simulation results demonstrate the effectiveness of the proposed algorithm in alpha stable distribution noise.Furthermore

this algorithm obviates the need for signal preprocessing tasks

such as symbol timing estimation

carrier and waveform recovery.