The Cramer-Rao bound for the estimation of noisy phase signals

This paper deals with noisy phase monocomponent signals in additive noise. This model is more appropriate for real world applications in particular for radar and communications. The problem is introduced and a maximum likelihood solution is proposed. Specifically, the Cramer-Rao bound is explicitly derived and compared to the case of noise free phase.