An approach to maximum likelihood identification of autoregressive marine mammal sources by passive sonar

This paper proposes a marine mammal classification method that relies in the assumption that the sources are autoregressive (AR). By incorporating the AR coefficients of each source the author make explicit their contribution to the signals at array sensors. A logarithmic likelihood function is introduced in the frequency domain so that all available information from the sources can be incorporated thus letting a proper classification. It is possible to deal with different sources regardless the closeness of their center frequency and their relative location. In the simulations the author explores the potential applications of their method in real situations where it is needed to identify sources as they are detected and localized.