Nonlinear Phase Estimation and Detection in Digital Communication

The paper considers the application of nonlinear filtering algorithms to the simultaneous phase estimation and symbol detection in digital communication with additive white Gaussian channels. To take into account some of the conditions present in underwater data transmission (Doppler effects due to relative emitter/receiver dynamics, oscillator phase drifts), the carrier random phase is allowed to vary significantly within each symbol interval.