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

Sandrine Boumard

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    106 Citations (Scopus)


    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
    ISBN (Print)978-0-7803-7974-9
    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


    ConferenceIEEE Global Telecommunications Conference, GLOBECOM '03
    Abbreviated titleGLOBECOM '03
    Country/TerritoryUnited States
    CitySan Francisco


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