Quantifying the influence of source motion on the ray-based blind deconvolution algorithm

This Letter investigates the influence of source motion on the performance of the ray-based blind deconvolution algorithm (RBD). RBD is used to estimate channel impulse responses and source signals from opportunistic sources such as shipping vessels but was derived under a stationary source assumption. A theoretical correction for Doppler from a simplified moving source model is used to quantify the biases in estimated arrival angles and travel times from RBD. This correction is numerically validated using environmental data from the SBCeX16 experiment in the Santa Barbara Channel. Implications for source localization and potential passive acoustic tomography using RBD are discussed.