Performance of Self-Adaptive Techniques for Multi-Static, Concurrent Detection, Classification and Localization of Targets in Shallow Water Using Distributed Autonomous Sensor Networks

The proposed Georgia Institute of Technology (GIT) research effort will develop coherent space-timefrequency processing techniques to enhance the resonant acoustic signatures of man-made targets (e.g. elastic shells) recorded on various nodes of an autonomous distributed sensor network. Both the issues of 1) time-frequency shift of the acoustic signatures across the sensing aperture and 2) convolution of the target echoes with the multipath response of the shallow water sound channel, will be addressed.