ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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8
Issue
vol 60 / AUGUST, 2017
Article
UDC 623.396.969.3

AN OPTIMAL ALGORITHM FOR NON-GAUSSIAN NARROW-BAND RANDOM SIGNAL DETECTION IN BACKGROUND NOISE

A. S. Bachevsky
St. Petersburg State University of Aerospace Instrumentation, Department of Aerials and Exploitation of Radio-Electronic Equipment ; Assistant


V. A. Shatalova
St. Petersburg State University of Aerospace Instrumentation, Department of Aerials and Exploitation of Radio-Electronic Equipment ; Cand. Techn. Sci.;


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Abstract.   Synthesis of optimal algorithm for non-Gaussian narrow-band signal detection in background noise is considered. Statistical characteristics of the signal are analyzed.
Keywords: random process, probability distribution density, signal, noise.