Abstract: The present invention relates to the field of data merging, the term “data” encompassing “observation data”. It relates notably to the data obtained from processing of sonar, radar or optronic signals. The subject of the invention is a method for carrying out the spectral merging and characterization of tracks, each track including the data relating to the evolution over time of the bearing position and of the Doppler frequency of an assumed object. This method includes: a first step of merging the initial tracks which correspond substantially to identical observation directions (azimuths); and a second step of frequency analysis of the tracks resulting from merging the initial tracks and of characterizing the merged tracks whose spectrum takes the form of a harmonic comb characteristic of a single real object. The invention finds for example its application in data merging and echo classification, for narrowband passive sonar applications.

Abstract: The present invention relates to the field of data merging, the term “data” encompassing “observation data”. It relates notably to the data obtained from processing of sonar, radar or optronic signals. The subject of the invention is a method for carrying out the spectral merging and characterization of tracks, each track including the data relating to the evolution over time of the bearing position and of the Doppler frequency of an assumed object. This method includes: a first step of merging the initial tracks which correspond substantially to identical observation directions (azimuths); and a second step of frequency analysis of the tracks resulting from merging the initial tracks and of characterizing the merged tracks whose spectrum takes the form of a harmonic comb characteristic of a single real object. The invention finds for example its application in data merging and echo classification, for narrowband passive sonar applications.