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A Radio-frequency Interference (RFI) Immunity Analysis for Wi-Fi Communication Systems Based on Near-field Noise Injection Testing
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- Authors
- Naeun Kim, Jong Hwa Kwon, Eakhwan Song
- Issue Date
- 2026-09
- Citation
- International Symposium on Electromagnetic Compatibility (EMC Europe) 2026, pp.1-5
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, an analysis method for the radiofrequency interference (RFI) immunity of Wi-Fi communication systems based on near-field noise injection testing is proposed. The proposed method identifies the maximum radiation area in the target system through near-field noise scanning and analyzes communication performance degradation by injecting near-field noise at the identified location. Considering the limited accessibility to the physical-layer bit stream in commercial Wi-Fi communication environments, the frame-based estimated bit error rate (FB-BER) was measured as the performance metric through data link layer-based frame analysis. The experimental results show that a linear region exists in which the FB-BER increases linearly with the signal generator output power. The proposed method was experimentally validated by comparing FB-BER values at different injected noise frequencies within the identified linear region, thereby confirming its capability to analyze frequency-dependent RFI immunity of Wi-Fi communication systems under near-field noise.
- Keyword
- bit error rate (BER), near-field noise injection, radio-frequency interference (RFI), RFI immunity, Wi-Fi communication system
- KSP Keywords
- Analysis method, Bit Error Rate(Ber), Bit stream, Communication performance, Communication system, Data Link Layer, Field noise, Frame analysis, Frequency dependent, Generator output, IEEE 802.11(Wi-Fi)