English

Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer

Machine Learning 2023-04-27 v1 Signal Processing

Abstract

Passive space-borne radiometers operating in the 1400-1427 MHz protected frequency band face radio frequency interference (RFI) from terrestrial sources. With the growth of wireless devices and the appearance of new technologies, the possibility of sharing this spectrum with other technologies would introduce more RFI to these radiometers. This band could be an ideal mid-band frequency for 5G and Beyond, as it offers high capacity and good coverage. Current RFI detection and mitigation techniques at SMAP (Soil Moisture Active Passive) depend on correctly detecting and discarding or filtering the contaminated data leading to the loss of valuable information, especially in severe RFI cases. In this paper, we propose an autoencoder-based RFI mitigation method to remove the dominant RFI caused by potential coexistent terrestrial users (i.e., 5G base station) from the received contaminated signal at the passive receiver side, potentially preserving valuable information and preventing the contaminated data from being discarded.

Keywords

Cite

@article{arxiv.2304.13158,
  title  = {Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer},
  author = {Ali Owfi and Fatemeh Afghah},
  journal= {arXiv preprint arXiv:2304.13158},
  year   = {2023}
}

Comments

To be published in IEEE IGARSS 2023

R2 v1 2026-06-28T10:17:49.350Z