1 November 1993 Detection of non-Gaussian signals using integrated polyspectrum
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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.
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Jitendra K. Tugnait, "Detection of non-Gaussian signals using integrated polyspectrum", Proc. SPIE 2027, Advanced Signal Processing Algorithms, Architectures, and Implementations IV, (1 November 1993); doi: 10.1117/12.160445; https://doi.org/10.1117/12.160445
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