Abstract:
The paper addresses the problem of
estimating the parameters of polynomial phase signals
(PPS) embedded in Gaussian noise. We consider an
estimation method based on an approximate linear state
space representation of the polynomial phase signal.
This approach offers the opportunity to use a standard
Kalman filtering procedure in view to estimate the
parameters of PPS signals. Procedure simulations were
made on linear chirp sinusoids with time-varying
amplitude and are consistent with the theoretical
approach. The paper presents the most important
results.
