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Modelling, Detection, and Classification of Random Underwater Acoustic Transients
Final rept. 1 Feb 1990-31 Jan 1991
CITY COLL NEW YORK DEPT OF ELECTRICAL ENGINEERING
Pagination or Media Count:
Common solutions for the problem of random transient classical optimum detector for random signals in noise. However, such a detector does not explicitly use the non-stationary character of the signal as a priori available information. Reformulation of the optimum detection in the time-frequency plane allows one to exploit this distinguishing signal feature and suppress noise. This is accomplished here by use of the Wigner-Ville signal representation and an optimum signalnoise subspace decomposition that improves the transient signal to noise ratio. The new detectionclassification procedure eliminates the subspace where major part of the energy of random noise sample will fall.
APPROVED FOR PUBLIC RELEASE