GPU-accelerated Calculation of Acoustic Echo Characteristics of Underwater Targets

In this paper, we study the echo characteristics of submerged targets at far field. Based on the thought of shooting and bouncing ray (SBR), which uses geometrical optics (GO) principle and physical optics (PO) integration in combination, we propose a more efficient GPU-accelerated prediction method based on multiresolution grid algorithm in the SBR to calculate the target strength (TS) of concave complex targets. According to the simulation and experiment results on rigid sphere, cylinder and submarine model, the accuracy of the proposed approach is proved. Furthermore, the GPU-based SBR is more than 750x faster than CPU via GPU parallel computing architecture. And the proposed GPU-accelerated multiresolution SBR improves runtime performance at least 2. 4x over GPU-based SBR.