Phase noise resulting in Common Phase Error

(CPE) and Inter-Carrier Interference (ICI) is a critical challenge

to the implementation of OFDM systems. Modeling phase noise

as a stationary Gaussian random process with the specified

power spectrum density, different from conventional approaches

which mostly relay on pilots to provide CPE estimation, we

explore the statistical characteristics of the sufficient statistics

then propose a pilot-aided decision-directed approach according

to maximum-likelihood criterion. Numerical results demonstrate

that the proposed algorithm enjoys 2dB gain at moderate SNR

and is quite robust against possible model mismatch