Mitigation of WLAN / RLAN interference in meteorological radar using wavelet filtering

In this paper we present a filter based on discrete wavelet transform along with the vision of multi-resolution analysis to mitigate interference noise that appears in raw data of meteorological radars. These interferences are mainly caused by C-Band RLAN/WLAN communications systems compliant with IEEE 802.11 standard. The results of applying the proposed filter to raw or level 1 data from a meteorological radar are compared with the original unfiltered data to show how the interference is removed without removing valid echoes. Finally, level 2 products obtained from the filtered raw data are compared with products from unfiltered data. With these results the effectiveness of the proposed filter can be appreciated and the method shows to be a good alternative to mitigate RLAN / WLAN interference in meteorological radars. Although only a qualitative analysis of the filter is made, the results show a good performance even with a high degree of interference in the original data.