A robust form of the Ambiguity function

A form of the Ambiguity function appropriate for signals affected by mixture of the Gaussian and impulsive noise is introduced. Then, it is used for calculation of the robust distributions belonging to the Cohen class. The proposed class of robust distributions may be used for time-frequency analysis and IF estimation of a wide class of signals corrupted by a heavy tailed noise. The theory is justified by a set of numerical examples.