Novel noise variance and SNR estimation algorithm for wireless MIMO OFDM systems

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    97 Citations (Scopus)

    Abstract

    We present a new noise variance and SNR estimation algorithm for a 2 × 2 MIMO wireless OFDM system as defined in the IST-STINGRAY project. The SNR information is used to adapt parameters or reconfigure parts of the transmitter. The noise variance estimation algorithm uses only 2 OFDM training symbols from each transmitting antenna and the FFT output signals at the receiver. It does not require knowledge of the channel coefficients. Then, using the channel coefficient estimates given by a channel estimator and the estimate of the noise variance, the SNR is computed. The algorithm’s performance is measured through Monte-Carlo simulations on a variety of channel models and compared to those of an MMSE algorithm using perfect channel estimates. The normalized MSE of the obtained noise variance estimate shows good results as long as the delay spread of the channel is small enough compared to the OFDM symbol period.
    Original languageEnglish
    Title of host publicationGlobeCom 2003, IEEE Global Telecommunications Conference
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages1330-1334
    Volume3
    ISBN (Print)0-7803-7974-8
    DOIs
    Publication statusPublished - 2003
    MoE publication typeA4 Article in a conference publication
    EventIEEE Global Telecommunications Conference, GLOBECOM '03 - San Francisco, United States
    Duration: 1 Dec 20035 Dec 2003

    Conference

    ConferenceIEEE Global Telecommunications Conference, GLOBECOM '03
    Abbreviated titleGLOBECOM '03
    CountryUnited States
    CitySan Francisco
    Period1/12/035/12/03

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  • Cite this

    Boumard, S. (2003). Novel noise variance and SNR estimation algorithm for wireless MIMO OFDM systems. In GlobeCom 2003, IEEE Global Telecommunications Conference (Vol. 3, pp. 1330-1334). IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/GLOCOM.2003.1258454