Title :
Classification of wireless interference on 2.4GHz spectrum
Author :
Zhiyuan Weng ; Orlik, Philip ; Kyeong Jin Kim
Author_Institution :
Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA
Abstract :
We1 propose two methods for the detection of RF interference. The first one is for the detection of the interferences from microwave ovens, and the second one is for Wi-Fi and Bluetooth signals. The motivation of this work is to design a system for reliable wireless communication. Specifically, the systems equipped with interference detectors will be able to choose the appropriate time intervals to transmit signals in the presence of other interferences, therefore avoid unnecessary collisions and retransmissions.
Keywords :
radiocommunication; radiofrequency interference; telecommunication network reliability; Bluetooth signals; RF interference detection; Wi-Fi signals; frequency 2.4 GHz; interference detectors; microwave ovens; wireless communication; wireless interference classification; Bandwidth; Bluetooth; Hidden Markov models; IEEE 802.11 Standards; Interference; Noise; Spectrogram; Bluetooth; RF interference; Wi-Fi; hidden Markov model; microwave Oven; signal classification; spectrogram;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
DOI :
10.1109/WCNC.2014.6952168
