Data-aided carrier phase estimation for GMSK

This paper examines the bias in data-aided maximum likelihood carrier phase estimation for GMSK based on a linear detector structure using only the first Laurent pulse. The bias in the ML phase estimate increases with decreasing BT_b and decreasing training sequence length. Three methods for bias compensation are described and their performance examined. Simulation results show that the performance of the bias compensation techniques can achieve the Cramer-Rao bound.