Underwater acoustic signal analysis based on adaptive data extrapolations in time-frequency representations

Analysis of underwater acoustics signals involves the computation of statistics parameters for detection and estimation purposes. Spectrogram representations of the time and frequency domains can detect and track tonal concentrations from possible targets that can be inferred from the spectral signature presented on the distribution; usually this signature is characterized by energy lines whose locations depends on the target motion. Recently, new approaches for time-frequency representations have been proposed offering higher resolutions. On this paper, new approaches based on adaptive time extensions are presented and compared with other high resolution time-frequency techniques. A qualitative analysis is carried out on a signal coming from a passive sonar and attention is focused on improvements over the spectrogram for the weakest samples of the signal