I.D. Biryukov1

1 JSC “CNIRTI named after academician A.I. Berg” (Moscow, Russia)

1 post@cnirti.ru

Problem Statement. In modern electronic surveillance systems of electronic warfare systems, traditional methods of separate processing of radio signals demonstrate significant limitations in a complex electronic environment. With typical values of the number of types of radio emission sources, optimal algorithms become practically unrealizable due to the exponential growth of the number of analyzed hypotheses.

Objective. Study of the features of using a quasi-optimal joint algorithm for processing radio signals in electronic surveillance systems, analysis of the achieved performance indicators and justification of the need to switch from traditional methods of separate processing to joint algorithms in a modern electronic environment.

Result. A quasi-optimal algorithm based on the Bayesian approach is proposed, implementing a joint solution to the problems of detecting and recognizing radio emission sources. Experimentally confirmed: energy gain of 16-26 dB compared to separate processing; increase in direction finding accuracy by 8-10 times; increase in the range of RTN systems by 4-8 times.

Practical significance. The developed algorithm allows to increase the accuracy of direction finding of radiotechnical surveillance systems, to increase the range of radiotechnical surveillance systems by 4-8 times without changing the hardware of the receiving system of radiotechnical surveillance. The implementation can be realized at the software level of existing digital signal processing systems. The proposed method of automatic updating of the a priori database ensures adaptation to changes in the radioelectronic situation.

Biryukov I.D. Application of joint algorithms for processing radio signals in electronic surveillance systems. Radiotekhnika. 2025.
V. 89. № 10. P. 122−134. DOI: https://doi.org/10.18127/j00338486-202510-15 (In Russian)

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