FHSS signal characterization based on the crossterms free time-frequency distributions

The application of the Cohen class time-frequency distributions has been considered for the analysis of signals in wireless communications. Several distributions are considered: spectrogram, Wigner-Ville, S-method, Born-Jordan, Choi-Williams, rectangular and Gaussian kernel based distribution. The possibility of using time-frequency distributions in decomposition of multicomponent wireless signals is examined. The signal separation procedure is based on eigenvalues and eigenvectors decomposition. Time duration and frequency range are estimated after the separation for each signal component. The theory is supported by the experimental results.