V.S. Kostennikov

Military Educational and Scientific Center of the Air Force «N.E. Zhukovsky and Yu.A. Gagarin Air Force Academy» (Voronezh, Russia)

Problem statement. Creating radio-engineering systems designed to improve detection characteristics, data is used that provides knowledge of a priori information about signal parameters and the influence of noise. However, the information about the noise parameters is unknown in advance, because it represents the distribution of a random process with a priori uncertain probabilistic characteristics. The ambiguity of noise is also affected by the non-identity of the characteristics of the elements of the receiving paths of the channels of the system. Therefore, it is of interest to develop algorithms implemented in the condition of stochastic changes in the noise of the receiving equipment.

Purpose. To develop a robust algorithm for detecting radio signals in conditions of a priori uncertain noise parameters by applying the approximation of piecewise linear and nonlinear decision functions of threshold devices.

The obtained results A robust algorithm for detecting radio signals under the condition of stochastic changes in the noise of the receiving equipment has been developed, which allows obtaining the best detection characteristics for a smaller number of measurements with an uncertainty zone formed. It is shown that in some reception conditions, the detection characteristics of the proposed algorithm have higher values of the probability of correct detection than the characteristics of the adaptive one.

Practical significance. The proposed detection algorithm allows calculating the threshold value for piecewise linear or nonlinear approximations of the critical functions of threshold devices, taking into account noise coefficients, uncertainty zones from previously defined primary parameters and forming a rule for making a decision about detection.

Kostennikov V.S. Robust algorithm for detecting radio signals under conditions of a priori uncertain noise parameters. Radiotekhnika. 2022. V. 86. № 3. P. 58−67. DOI: https://doi.org/10.18127/j00338486-202203-06 (In Russian)

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