Joint algorithm for blind estimation of FH signal based on STFT and PWVD
Liang-yuan Wang, Huawei Zhan, Si Chen · 2021
UAVs often use frequency hopping signals as their communication links, Obtaining the parameters of the drone signal can interfere with its normal operation. This paper proposes a joint algorithm for blind estimation of frequency hopping signals based on STFT and PWVD. First of all, perform STFT transformation and PWVD transformation on the intercepted UAV frequency hopping signal,;Secondly, perform the Hadamard product operation on the transformation result, get a stable joint time-frequency analysis graph; At last, the jump speed is obtained by the maximum time-frequency value at each moment, The reciprocal of the jump speed is the period value. The simulation experiment proved that, The joint algorithm still has high accuracy for frequency hopping signal parameter estimation under the condition of low signal-to-noise ratio; The Monte Carlo algorithm also verifies the effectiveness of this algorithm.