Blind separation of underwater acoustic signals via independent component analysis algorithms

Independent component analysis (ICA) algorithms embody an emerging method for blind separation of signals. Several ICA algorithms to separate underwater acoustic signals were introduced. Simulating with artificial signals, five ICA algorithms were analyzed and compared. The shortage of these algorithms to separate underwater acoustic signals was de scribed. Based on a noisy ICA model, a method for separating underwater acoustic signals in presence of noise was proposed.