Matrix- and Tensor-Based RFI Detectors for Multi-Antenna Wireless Communications

Radio frequency interference (RFI) is affecting various radio frequency operating systems. Mentioning of practical wireless channels, meanwhile, RFI can be received through a multi-path fading channel. In such scenarios, robust detection of RFI can be challenging since the signal of interest can also be received through a multi-path fading channel. To this end, by introducing a tensor-based hypothesis testing framework, this paper proposes a matrix-based RFI detector (MB-RD) and a tensor-based RFI detector (TB-RD) for RFI received through a multi-path fading channel. Simulation results demonstrate that TB-RD outperforms-especially for a weak RFI-MB-RD and the generalized likelihood ratio test (GLRT) detector whenever the number of receiving antennas increases.