ARRAY-BASED UNDERWATER ACOUSTIC TARGET CLASSIFICATION WITH SPECTRUM RECONSTRUCTION BASED ON JOINT SPARSITY AND FREQUENCY SHIFT INVARIANT FEATURE

The target spectrum, which is commonly used in feature extraction for underwater acoustic target classification, can be improperly recovered via conventional beamformer (CBF) owing to its frequency-variant spatial response and lead to degraded classification performance.In this paper, we propose a target spectrum reconstruction method under a spars

Curtis L Cooper1, Eric Druyts2, Kristian Thorlund3, Jean B Nachega4, Antoine C El Khoury5, Christopher O'Regan6, Edward J Mills2,31Division of Infectious Diseases, Faculty of Medicine, 2Faculty of Health Sciences, University of Ottawa, Ottawa, 3Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Ca