Joint phase noise estimation and source detection

Rapidly time-varying and random disturbing effects on the phase of a signal waveform are known as phase noise. In this paper, we consider the problem of joint detection of continuous-valued information source output and estimation of a phase noise by using expectation maximization (EM) algorithm. In order to estimate phase noise, initial phase noise values are determined by cubic interpolation that utilizes pilot symbols. Computer simulations are performed for the proposed algorithm and the average mean square error (MSE) — signal to noise ratio (SNR) performance of source detector and phase noise estimator is presented for each iteration of the algorithm. Moreover, average MSE — pilot spacing performance curves of phase noise estimator are given for various SNR values.