The article presents an approach to enhancing the interference resistance of control radio channels for robotic systems under conditions of active electromagnetic disruption by introducing a mechanism of adaptive spectral maneuvering. The proposed simulation model is implemented on an SDR-based platform and incorporates elements of cognitive spectrum analysis, enabling dynamic adjustment of signal frequency-time parameters in response to deteriorating radio conditions. The model includes modules for spectrum monitoring, interference detection, channel quality evaluation (BER, SNR), and an adaptive frequency control unit. Simulation results demonstrate a significant reduction in error probability and sustained system operability compared to statically configured channels. The proposed solution is applicable in logistics, technical monitoring, and unmanned surveillance systems, particularly in environments with intentionally congested spectrum.
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