Passive Detection Method of Underwater Maneuvering Target Based on Random Parabolic Hough Transform

Abstract

In order to solve the problem of detection and tracking of maneuvering weak targets by aerial sonobuoys, a track-before-detect method based on stochastic parabolic Hough transform was constructed. The azimuth measurement of the target was cross-located by the adaptive correlation detection buoy group, and the corresponding position information in the target measurement was obtained. The stochastic parabolic Hough transform method was used to convert the target expansion measurement to the parameter space, and the target's maneuvering track was accumulated in the parameter space. The traditional random parabolic Hough transform method was improved by means of azimuth transformation to reduce the computational complexity of the algorithm. The problem of passive detection of maneuvering weak targets was transformed into a track detection problem based on random parabolic Hough transform under the track-before-detect model, which reduces the missed track detection of weak targets with low signal-to-noise ratio. The simulation results show that the detection probability exceeds 70 % when the signal-to-noise ratio is greater than 5 dB.