FIELD: radio electronics; hydroacoustics.
SUBSTANCE: invention relates to methods of detection, signal processing in the presence of interference. The invention consists in implementing the development of an optimal method for detecting a hydroacoustic signal under interference conditions described by nonlinear stochastic equations. Essence: the signal processing method is based on the method of conditional Markov filtering, which includes: solving filtering equations for the hypothesis of the presence/absence of a signal; likelihood equations; equations for calculating gain factors. A distinctive feature of the signal processing method is that to obtain noise estimates for a nonlinear equation of state, piecewise constant functions are additionally used, and the region of the dynamic range of changes in the nonlinear function is divided into intervals, in each of which a linear representation of the equation of state is implemented, which allows each of subbands to implement the Kalman-Bucy filter, which includes: two equations for estimating the state under the hypotheses of the presence/ absence of a signal; the equation for estimating the variance at different intervals and the likelihood equation, which includes these estimates, and based on the results of the calculation of which a decision is made on the detection or non-detection of the signal, taking into account the criterion of minimum mean squared error.
EFFECT: reduction of computational costs, ensuring high efficiency of signal detection under various interferences, obtaining a more efficient filtering algorithm and the ability to work in real time.
1 cl, 6 dwg
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Authors
Dates
2023-08-17—Published
2022-07-05—Filed