Modelling, Detection, and Classification of Random Underwater Acoustic Transients
Abstract
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 signal/noise subspace decomposition that improves the transient signal to noise ratio. The new detection/classification procedure eliminates the subspace where major part of the energy of random noise sample will fall.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 1992
- Accession Number
- ADA247797
Entities
People
- Leonid Roytman
- Nenad M. Marinovic
Organizations
- City College of New York