AUTOENCODER-BASED RADIO FREQUENCY INTERFERENCE MITIGATION FOR SMAP PASSIVE RADIOMETER

被引:2
作者
Owfi, Ali [1 ]
Afghah, Fatemeh [1 ]
机构
[1] Clemson Univ, Holcombe Dept Elect & Comp Engn, Clemson, SC 29634 USA
来源
IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2023年
基金
美国国家科学基金会;
关键词
Interference Mitigation; SMAP satellite; Spectrum Coexistence; RFI; Autoencoder; SOIL-MOISTURE;
D O I
10.1109/IGARSS52108.2023.10281939
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
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 (1).
引用
收藏
页码:6783 / 6786
页数:4
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