RF Interference Detection and Signal Classification for IIoT Application

RF Interference Detection and Signal Classification for IIoT Application
Title:
RF Interference Detection and Signal Classification for IIoT Application
Other Titles:
2018 24th Asia-Pacific Conference on Communications (APCC)
Publication Date:
12 November 2018
Citation:
Y. Wang, Y. Zeng, S. Sun, P. H. Tan and E. Kurniawan, "RF Interference Detection and Signal Classification for IIoT Application," 2018 24th Asia-Pacific Conference on Communications (APCC), Ningbo, China, 2018, pp. 150-155. doi: 10.1109/APCC.2018.8633475
Abstract:
In IIoT application, various IoT devices with different protocols are connected. One of the major challenges in IIoT application is to detect interference and achieve coexistence across multiple technologies. In this paper, we propose a novel and efficient method to detect the presence of Microwave Oven (MWO) interference. In order to achieve coexistence between IEEE 802.11 WIFI and IEEE 802.15.4 based sensor network, we propose an enhanced spectral matching method to detect 802.15.4 packet and WIFI packet. Our proposed method can also detect the hopping frequency of 802.15.4 packet. Simulation results show that our proposed method can achieve high detection probability in various propagation channels.
License type:
PublisherCopyrights
Funding Info:
This Research is supported by the A*STAR Industrial Internet of Things Research Program, under the RIE2020 IAF-PP Grant A1788a0023.
Description:
(C) 2018 IEEE.
ISSN:
2163-0771
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