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Proceedings Paper

Detection of non-Gaussian signals using integrated polyspectrum
Author(s): Jitendra K. Tugnait
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Paper Abstract

We consider the problem of detecting an unknown, random, stationary, non-Gaussian signal in Gaussian noise. The most commonly used method for this problem is the so-called energy detector which can not distinguish between Gaussian and non-Gaussian signals. Recently the use of bispectrum and/or trispectrum of the signal has been suggested for improving detection performance for non-Gaussian signals. In this paper we suggest the use of an integrated polyspectrum (bispectrum or trispectrum) to possibly further enhance detection performance and to improve computational efficiency of the detectors based upon polyspectrum. We investigate conditions under which use of the integrated bispectrum is appropriate. The detector structure is derived and its performance is evaluated via simulations and comparisons with several other existing approaches.

Paper Details

Date Published: 1 November 1993
PDF: 12 pages
Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160445
Show Author Affiliations
Jitendra K. Tugnait, Auburn Univ. (United States)

Published in SPIE Proceedings Vol. 2027:
Advanced Signal Processing Algorithms, Architectures, and Implementations IV
Franklin T. Luk, Editor(s)

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