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Proceedings Paper

Transient detection in the presence of strong narrowband interference via Wigner-Ville spectrum
Author(s): Nenad M. Marinovic; Leonid M. Roytman
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Paper Abstract

We consider the problem of detecting a known Gaussian random transient in the presence of a strong known random Gaussian narrowband interference. This can be regarded as a special case of the classical problem of detecting a known Gaussian random signal in known Gaussian colored noise. There exists a standard solution for such a problem based on the 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 the stationary interference and noise. This is accomplished here by use of the Wigner-Ville signal representation and an optimum signal/noise subspace decomposition that maximizes the transient signal to noise ratio. The new detection procedure eliminates the subspace where major part of the energy of random noise sample will fall while retaining almost all of the signal energy. In this fashion a gain in the output signal to noise ratio is achieved as verified by simulations.

Paper Details

Date Published: 1 November 1990
PDF: 12 pages
Proc. SPIE 1348, Advanced Signal Processing Algorithms, Architectures, and Implementations, (1 November 1990); doi: 10.1117/12.23510
Show Author Affiliations
Nenad M. Marinovic, City College/CUNY (United States)
Leonid M. Roytman, City College/CUNY (United States)

Published in SPIE Proceedings Vol. 1348:
Advanced Signal Processing Algorithms, Architectures, and Implementations
Franklin T. Luk, Editor(s)

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