Fourier series and estimation: An application to optical phase tracking (Corresp.)
Steven I. Marcus, Gary Kohanbash · IEEE Transactions on Information Theory · 1978
Methods of Fourier analysis and an assumed folded normal density approximation are applied to a nonlinear estimation problem in which the observation consists of a doubly stochastic Poisson process. A particular application of optical phase tracking is discussed. The performance, as computed by Monte Carlo simulation, of the resulting suboptimal estimator compares favorably to that of the suboptimal estimators of Snyder.