An Algorithm for Detecting Interferences Applied to Adaptive Frequency Hopping (AFH) Systems

To improve the reliability and stability of FH communications, nonlinear transforms are used according to the properties of linear modulated digital signals. Based on the information included in the PSD of the transformed signals, an algorithm for detecting interferences applied to adaptive FH is proposed. The algorithm is based on Bayesian decision-making, which belongs to blind detection of signal-to-interference ratio (SIR) and signal-to-noise ratio (SNR). The simulation results show that the algorithm meets the requirements of FH communication systems.