A New Time-Frequency Representation Based on Ambiguity Function Analysis and its Application in Parameter Estimation of FH Signals

This paper introduces a new kernel to compute time-frequency representation (TFR) of Frequency Hopping signal based on the ambiguity function (AF) analysis. By control two parameters of the kernel in time lag and frequency lag directions, the new representation makes a good improvement in time-frequency resolution and suppresses the influence of cross terms. The application in parameter estimation of FH signal is also show to validate the proposed representation.