Parameter Estimation of Frequency-hopping Signals Based on Merid Filter in Stable Noise Environment

Conventional time-frequency analysis is a powerful tool for Frequency-Hopping (FH) signal processing, however, it fails to realize the parameter estimation in stable noise environment. Time-frequency analysis based on Merid filter is proposed for FH signal parameter estimation. Merid filter can suppress effectively the stable noise. The observed signal is processed by Merid filter at first, then the FH signal parameters are estimated by Short-Time Fourier Transform (STFT). Simulation results show that the proposed method has better parameter estimation performance for FH signals than the fractional lower order statistics as well as the Myriad filter based time frequency analysis methods in stable noise environment.