The problem of constructing a frequency tracker for passive sonar signal processing is considered. An extended Kalman filter (EKF) observer is proposed which takes into account prior knowledge of the nature of the signal in order to overcome the difficulties presented by the inherent nonlinearity of the problem and the very low signal-to-noise ratios. Design guidelines for the EKF filter are discussed and the performance illustrated via simulation results. These simulations demonstrate the effectiveness of the filter for SNR in the range 0 to -30dB.
|Title of host publication||Proceedings of the 7th IEEE SP workshop on statistical and array processing|
|Number of pages||4|
|Publication status||Published - 1994|
|Event||IEEE SP workshop on statistical and array processing (7th : 1994) - Quebec, Canada|
Duration: 26 Jun 1994 → 29 Jun 1994
|Conference||IEEE SP workshop on statistical and array processing (7th : 1994)|
|Period||26/06/94 → 29/06/94|