A Sound Ray Correction Method Based on Historical Data of Marine Acoustic Environment

This paper proposes a new method for sound ray correction based on historical data, such as temperature, salinity, and depth of the sea area. The proposed method utilizes the Douglas-Peucker (D-P) algorithm to mine and extract features from sound velocity data processed using empirical orthogonal functions (EOF), completing the inversion of sound speed profiles (SSP). Compared to traditional EOF methods, an increase in the computational speed is achieved. Afterwards, this method quickly and linearly layers the processed sound speed profile, and uses the equivalent sound velocity method (ESVM) for sound ray equivalence to complete underwater target localization. Compared to the constant velocity method and the constant gradient method based on adaptive layering, the proposed method has higher accuracy and higher robustness to complex underwater environments. The effectiveness of the method is verified by applying it to the ultra-short baseline (USBL) positioning system.