August 1987 | Contractor Report CR-87-39
First-Order Non-Gaussian Class C Interference Models and Their Associated Threshold Detection Algorithms
Cite This Publication
David Middleton, “First-Order Non-Gaussian Class C Interference Models and Their Associated Threshold Detection Algorithms,” Contractor Report CR-87-39, August 1987, U.S. Department of Commerce, National Telecommunications and Information Administration, Institute for Telecommunication Sciences.
David Middleton
Abstract:
A useful approximate first-order characteristic function for Class C interference is obtained, for arbitrary combinations of the additive Class A and Class B nongaussian components which define Class C noise. From this, in turn, the associated first-order probability density, W1(x)C+G, is derived, including an independent gaussian component. The corresponding optimum threshold detection algorithms (for coherent, incoherent, and composite reception) are described, including the associated bias terms. The specific rôle of W1(x)C+G in these threshold algorithms is noted, as well, also for the Class C statistics (L(2), L (4)) governing detector performance. Various topics for subsequent investigation are briefly indicated.
Keywords: Class A, B noise; non-Gaussian interference; interference models
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