Adaptive suppression of low-altitude communication interference signals based on an improved CycleGAN
Adaptive interference suppression in complex electromagnetic environments has become a key challenge to ensure communication reliability. Traditional methods rely on prior knowledge of interference and have insufficient adaptability in dynamic scenarios. The standard CycleGAN model suffers from limited feature extracti...