Abstract:

Under the complex underwater acoustic conditions, to address the passive detection problem of underwater targets with typical motion patterns, an adaptive stochastic Hough transform-before-detection tracking method is studied to detect underwater cyclonic moving targets. Firstly, based on the characteristics of the underwater target's cyclic motion, the small rudder angle cyclic motion equation is deduced. Secondly, the preprocessing of the measurement signal of the buoy sonar coverage array is completed by constructing an adaptive correlation sonar buoy detection group and adopting the three-buoy minimum variance cross-location technology. Thirdly, an adaptive random Hough transform detection method is proposed for the different stages of the underwater target's cyclonic motion, and the initial detection track is obtained. Finally, the underwater target detection is realized by optimizing the initial detection track. The simulation results show that under the conditions of small angle measurement error, complex underwater acoustic and low signal to noise ratio, the average detection probability of the proposed method is more than 60%, and the overall performance is superior to the existing authoritative detection methods.

Key words: underwater target, passive sonar, track before detect, randomized Hough transform, double threshold