2022
DOI: 10.1109/temc.2022.3141379
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Detection and Identification of System Level Soft Failure Induced by Radio Frequency Interference in Small UAV System

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Cited by 8 publications
(2 citation statements)
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“…There have been efforts to reconstruct the emission sources of near-field scanning with the differential evolution algorithm to ensure convergence to the optimal solution without the need for handling the ground plane separately [12], [13], [14]. Despite the difficulties in measuring near-field phases, especially at high frequencies, the differential evolution method can utilize amplitude-only near-field measurement [13], [14], [15].…”
Section: Introductionmentioning
confidence: 99%
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“…There have been efforts to reconstruct the emission sources of near-field scanning with the differential evolution algorithm to ensure convergence to the optimal solution without the need for handling the ground plane separately [12], [13], [14]. Despite the difficulties in measuring near-field phases, especially at high frequencies, the differential evolution method can utilize amplitude-only near-field measurement [13], [14], [15].…”
Section: Introductionmentioning
confidence: 99%
“…For example, a wireless receiver may require that the background RFI levels are sufficiently low, typically -70 dBm or less, depending on the receiver's antenna and architecture, to ensure that the receiver can detect a minimum detectable signal (MDS) [12], [13], [14]. Hence, the RFI can be regarded as the primary concern when the received power from noise sources exceeds the MDS value [15]. Furthermore, characterizing the RFI makes it feasible to apply mitigation strategies to prevent associated potential problems, such as receiver front-end saturation [16], [17], [18], [19].…”
Section: Introductionmentioning
confidence: 99%