In order to solve the problem of blind estimation of frequency hopping signal parameters with fixed frequency interferencea removal algorithm based on time-frequency energy value cancellation is proposedand the blind parameter estimation of frequency hopping signals is realized by least square method.Firstlythe K-means algorithm is used to select an adaptive threshold for the clustering of the energy cancellation valueand the noise and fixed-frequency interference are removed synchronously.Secondlythe maximum energy of the frequency axis at each moment of the reconstructed time-frequency matrix is extracted to obtain the envelope diagram of periodic oscillation.Finallythe least square method is used to linearly fit each extremum of the envelope diagram to realize the blind estimation of the frequency hopping signal parameters.Simulation results show that:Compared with similar algorithmsthis algorithm effectively removes fixed-frequency interferenceachieves high-precision estimation of frequency hopping parameters under the condition of lower SNRand maintains the relative accuracy of estimated parameters at a high level.