A signal enhancement algorithm of radio fuze based on adaptive parameter matching stochastic resonance

In this paper, the challenge of signal attenuation for millimeter wave fuze systems operating in F-band (90-140 GHz) is studied deeply. Electromagnetic wave propagation in this frequency range is affected by the coupling effect of atmospheric molecular resonance absorption, with atmospheric attenuation modeling yielding an attenuation coefficient of 1.98 dB/km. Additionally, the impact of free-space path loss causes the signal-to-noise ratio (SNR) of the difference-frequency signal to exhibit an exponential decay with respect to fixed-distance propagation, significantly limiting the detection sensitivity of the system. To address these issues, this paper proposes a stochastic resonance signal enhancement algorithm based on adaptive parameter matching. First, the potential barrier parameters of the bistable system are dynamically adjusted according to fixed-distance requirements. Meanwhile, a preprocessing procedure involving down-conversion and down-sampling parameter matching is applied to the beat signal after compensating for velocity-induced effects, ensuring precise alignment between the characteristic scale of the difference-frequency signal and the bistable system parameters within the optimal solution range of the Langevin equation. Simulation experiments demonstrate that this approach extends the reliable detection range from 5 m, as achieved by conventional fixed-distance algorithms, to 17.5 m, representing a 340% improvement in detection performance.