Feature extraction of intra-pulse modulated signals using time-frequency analysis

Time-frequency/wavelet decompositions and pattern recognition schemes are used to extract the parameters of linear and hyperbolic chirps. The study first compares the robustness to additive noise distortions of eleven different transformations applied in connection with the Radon transform to estimate linear chirp parameters. Second, it proposes an iterative scheme to estimate hyperbolic chirp parameters from the time-frequency image.