Underwater sound source localization based on compressed sensing algorithm

The compressed sensing algorithm is applied to underwater sound source localization in two-dimensional space. Numerical simulations demonstrate the feasibility of using eigenvalue distribution and random matrix theory to analyze the applicability and effectiveness of the compressed sensing algorithm in underwater sound source localization. Compare the localization results with the matching field processing to demonstrate the advantages of compressed sensing algorithm in solving the problem of sound source localization in scattered environments.