Leveraging Bayesian Optimization for Array Shape Self-Calibration in Underwater DoA Estimation
Flexible sensing arrays are commonly used in underwater acoustic networks, but suppressed by unpredictable geometric deformations. Existing array shape self-calibration methods often estimate individual element positions separately, leading to a high dimensional optimization problem over long arrays. To address this pr...