Abstract:

It is of great importance to reduce interference for lowpower high frequency channel propagation characteristics sounding because the signaltointerferencenoise ratio is low. A narrowband interference elimination algorithm based on combination of the Fourier transform and the probability density is proposed for compensating the deficiencies in amplitude estimation and phase estimation of the interference elimination algorithm based on the traditional Fourier transform. Simulation results show the efficiency of the proposed algorithm. Unfortunately, the proposed algorithm is incompetent for the elimination of the interference of measurement data. Therefore, an improved narrowband interference elimination algorithm based on the combination of Fourier transform and probability density is proposed. The analysis of interference elimination of measurement data by the improved algorithm is done, which shows that the improved algorithm is competent for the elimination of the narrowband interference of measurement data. The work done above lays the foundation for signal parameters estimation under a low signaltonoise ratio.