FIELD: radio engineering.
SUBSTANCE: area of application: invention relates to the field of radio electronics and hydroacoustics, namely, to methods for signal processing in case of interference. Invention consists in developing an optimal method for detecting a hydroacoustic signal under conditions of interference conditions described by nonlinear stochastic equations. Substance: method for signal processing is based on the method for conditional Markov filtering, including: solving filtering equations for the hypothesis of the presence/absence of a signal; a likelihood equation; and an equation for calculating the gain coefficients. The method is characterised by the area of the dynamic range of change in the nonlinear function being divided into intervals, wherein the nonlinear function included in the equation of state describing the dynamics of change in the interference is independently approximated in each of said intervals by a linear function, and the nonlinear function in general is approximated by a chain function with discontinuities of the first kind at the boundaries of the intervals, thereby allowing for the implementation of a Kalman-Bucy filter at each of the intervals, including: two state estimation equations based on the hypotheses of the presence/absence of a signal; dispersion estimation equations at various intervals, and a likelihood equation including said estimates, based on the results of calculation whereof a decision is made on having detected or not detected a signal; and the integral square error criterion is applied to obtain the value of spline coefficients.
EFFECT: lower computational costs with respect to the existing and promising methods for signal processing; high effectiveness of signal detection under influence of various interferences; a more effective filtering algorithm; and possibility of working at a real time scale.
1 cl, 6 dwg
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Authors
Dates
2022-10-21—Published
2021-06-16—Filed