Maximum likelihood estimation of AR modulated signals

The desired signal is embedded in both multiplicative and additive noises. The multiplicative noise is modeled by a Gaussian AR process. Closed forms expressions are derived for the finite-sample Cramer-Rao bound and for the maximum likelihood estimator. A cyclic approach is used to initialize the maximum likelihood algorithm when the signal is a harmonic.