RFI Mitigation Algorithm Based on Adaptive Filter

Aiming at the problem of radio observation data quality degradation or invalid data caused by Radio Frequency Interference (RFI), we have studied the adaptive RFI algorithm and proposed an interference mitigation method based on the adaptive filter. An adaptive interference suppression model has been established to effectively counter complex and intense interference. This model includes a normalized factor, derived from the filter's correlation function, which improves the performance of the adaptive filtering algorithm in reducing RFI. The adaptive filter algorithm flexibly adjusts the filter gain automatically, based on the correlation between the RFI reference signal and the observation signal, thereby effectively eliminating the RFI mixed with astronomical signals. Simulation results show that the algorithm can effectively eliminate radio frequency interference, improve the signal-to-noise ratio of astronomical signals and signal recognition rate. It also prevents the loss of signal bandwidth, ensuring the provision of reliable data for subsequent post-processing analysis.