Time-frequency analysis of freqency-hopping signals based on sparse recovery

To overcome the common shortcomings shared by the existing methods: weak suppression noise interference and feeble performance of time-frequency concentration,a novel time-frequency analysis method based on sparse repre-sentation was developed,which could get clear and concentrate time-frequency mug washer representation.Firstly,the unconstrained sparse representation model of FH signals was established according to the punish function theory.Then,the guideline of punish parameters were analysed theoretically and got time-frequency jazzy select gt parts representation by sloving the optimization problem used approximate l0norm finally.

The simulation results show that this method is capable of getting clear time-frequency pattern.

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