Coherent wideband DOA estimation of multiple FM signals using spatial time-frequency distributions
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Estimating parameters of multiple wideband polynomial-phase sourcesin sensor arrays
IEEE Transactions on Signal Processing
Analysis of joint angle-frequency estimation using ESPRIT
IEEE Transactions on Signal Processing
Estimating parameters of sinusoids from noisy data using Bayesian inference with simulated annealing
WSEAS Transactions on Signal Processing
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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.