• DocumentCode
    148441
  • 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
  • fYear
    2014
  • fDate
    6-9 April 2014
  • Firstpage
    786
  • Lastpage
    791
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2014 IEEE
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/WCNC.2014.6952168
  • Filename
    6952168
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=148441