I.D. Biryukov1

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

1 post@cnirti.ru

Problem Statement. In electronic surveillance systems (ES) of electronic warfare (EW) systems, the detection of radio signals from radio emission sources (RES) is performed by detectors with fixed processing parameters. This approach does not take into account the structure of the expected signals and leads to significant energy losses, reaching 30 dB, limiting the operating range and the probability of correct detection. The lack of mechanisms for automatic adaptation of detector parameters to the characteristics of the expected signals is one of the main factors reducing the effectiveness of EES systems.

Objective. Development of a mathematical model of an adaptive multi-channel radio signal detector, describing the principles of automatic tuning of processing parameters (bandwidth, local oscillator frequency, correlation interval, and detection threshold) based on a priori information from a library of radio signal types, software implementation of the model, and experimental testing of its effectiveness on a test bench using actual receiving equipment of the RTN system.

Result. A mathematical model of an adaptive multi-channel detector with a multi-channel architecture is proposed, in which each channel is automatically tuned to detect a specific radio signal type from an a priori library. Algorithms for adaptive tuning of low-pass filters, local oscillator frequency, and correlation interval are formalized. The model is implemented in Python and has been experimentally tested on a test bench including a radio signal generator, actual receiving equipment of the RTN system, and an anechoic shielded chamber. Computer simulation and experimental testing confirmed the model's energy gain of 18–26 dB compared to a non-adaptive detector, corresponding to a 5–7-fold increase in detection range. The discrepancy between theoretical and experimental data does not exceed 15%.

Practical significance. The developed mathematical model allows one to evaluate the potential effectiveness of an adaptive detector without the costly development and debugging of microcontroller and programmable logic integrated circuit (FPGA) software within a real device. The model is implemented as a software package and experimentally tested using actual RTN system receiving equipment. The results confirm the feasibility of upgrading existing RTN systems through software implementation of the developed algorithms without replacing the hardware.

Biryukov I.D. Design of an adaptive multichannel radio signal detector with automatic parameter adjustment based on a priori information. Radiotekhnika. 2026. V. 90. № 5. P. 72−83. DOI: https://doi.org/10.18127/j00338486-202605-10 (In Russian)

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