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

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

Blog Article

To overcome the common shortcomings shared by the existing methods: weak suppression noise whelen arges spotlight 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 representation.Firstly,the unconstrained sparse representation model of FH signals was established according to the punish function theory.Then,the red bull spring edition 2022 guideline of punish parameters were analysed theoretically and got time-frequency 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.