Performance of detect-on-track in a high shipping environment

A detect-on-track algorithm based on the Hough transform has been applied to acoustic broadband correlograms for passive detection and localization. When normalized by the number of points, the Hough transform computes the arithmetic-mean along a track. The process is referred to as an arithmetic-sum (AS) transform. Two nonlinear transforms have been proposed: the logarithmic-sum (LS) transform and the harmonic-sum (HS) transform. The LS-transform sums dBs while the HS-transform sums the reciprocal of the power along the track. In this study, the detect-on-track algorithm has been modified and applied to the narrowband beamformed output. Several different beamforming approaches including adaptive plane-wave beamforming and shaded plane-wave beamforming were considered. The detect-on-track performance is evaluated against a typical scenario in a high shipping noise environment using a dynamic simulation over a long time period.