The Automatic Target Recognition Algorithm Based on the Signal Modulation Analyses
Abstract
Amplitude modulation of the sea vessel noise is widely used for automatic target recognition. Using the amplitude modulation parameters one can determine the vessel type; her displacement; the number of shafts and propeller blades; the velocity; the moment of course or velocity changing. There are two types of amplitude modulation: shaft and blade modulation due to the cavitations on the blade at large speed of rotation and roll and pitch modulation due to periodical changing of submerged part of the vessel. The paper contains the syntheses of optimal maximum likelihood automatic target recognition algorithm on base of amplitude modulation of their signals. It is shown that the same algorithm can be used both individually and as a part of the complex algorithm using several signal parameters. The effectiveness of automatic target recognition algorithm is investigated.
About the Authors
A. I. Mashoshin
JSC Concern Central Scientific and Research Institute «Elektropribor»
Russian Federation
Russian Federation
Saint-Petersburg
Y. V. Shafranyuk
JSC Concern Central Scientific and Research Institute «Elektropribor»
Russian Federation
Russian Federation
Saint-Petersburg
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Review
For citations:
Mashoshin A.I., Shafranyuk Y.V. The Automatic Target Recognition Algorithm Based on the Signal Modulation Analyses. Fundamental and Applied Hydrophysics. 2014;7(4):78-85. (In Russ.)
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