In long-distance transmission, the strength of aircraft communication signals is weak, while the power of background noise is relatively stable. This makes the signal overwhelmed by noise, making it difficult to accurately extract effective information to complete signal enhancement processing. Therefore, based on multiscale filtering technology, this article studies intelligent enhancement methods for aircraft long-range communication signals. Firstly, collect aircraft long-range communication signals and generate a dataset of aircraft long-range communication. Then, weak signals during the communication process are obtained through threshold calculation, and the amplitude and wavelet transform features of the weak signals are extracted. The amplitude feature can reflect the strength of the signal, and the wavelet transform feature can analyze the local characteristics of the signal to determine the cause of signal attenuation; Finally, using multiscale filtering techniques and wavelet transform, the signal is decomposed into different scale spaces. Based on the differences in the characteristics of the signal and noise, the two are initially separated in the scale space. Then, the reconstructed wavelet coefficients are used to enhance the signal. Tests have shown that this method can improve the signal-to-noise ratio of communication signals, reduce the bit error rate during transmission, and enhance signal quality.