Extended Kalman Filter for Parameter Estimation of Wideband polynomial Phase Signals in Sensors Arrays

In this paper, we consider the problem of estimating wideband polynomial phase signals in sensor arrays. The estimation is based on the introduction of an exact but nonlinear state space modelization, of the signal, which compels us to use the extended Kalman filter (EKF). Furthermore, a solution to the problem of initialization of the filter is also proposed. Under this solution, the numerical simulations show that the use of the EKF improves existing methods in terms of statistical performances since the EKF-based estimators exhibit high performances. Key-Words: Cramer-Rao bound, Extented Kalman filter, Wideband polynomial phase signals.