Estimation and smoothing of instantaneous frequency of noisy narrow band signals

Estimation of instantaneous frequency of a narrow-band noise corrupted signal from discrete time phase-only data is considered. By aid of Kalman filter theory, filter and smoothing estimates are derived and their equivalence to estimates obtained by the MFT algorithm is established, MFT being a practical algorithm for multiple frequency tracking and smoothing.