Using Multiple Chains in Cross-Correlation Receivers to Improve Sensitivity

Mina Raafat Mitry Mikhael, Mark Stefan Oude Alink, Andre B.J. Kokkeler

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

    2 Citations (Scopus)
    175 Downloads (Pure)


    Cross-correlation can be used in energy detection applications, such as spectrum analyzers, but also frequency shift keying (FSK) receivers, to improve noise suppression. To achieve higher signal-to-noise ratio (SNR), integration in time may be used, but could make it rather slow for communication purposes. In order to achieve better data-rates in low SNR conditions, we propose to use multiple chains instead of the traditional two chains. In this paper, we show an analysis of the SNR improvement and the power consumption penalty for BFSK modulation when using more chains. It shows that for low noise correlation between the chains, the improvement in sensitivity is proportional to the number of chains. Also, we develop a figure-of-merit to evaluate the optimum number of chains for different parameters of the receiver design. Furthermore, two examples from literature are analyzed. At their optimum number of chains, they both show ∼ 6dB improvement in sensitivity with similar or even better figure-of- merit.
    Original languageEnglish
    Title of host publication2019 IEEE 90th Vehicular Technology Conference, VTC 2019 Fall - Proceedings
    Place of PublicationHawaii, Honolulu, USA
    ISBN (Electronic)978-1-7281-1220-6
    Publication statusPublished - 24 Sep 2019
    EventIEEE 90th Vehicular Technology Conference, VTC 2019-Fall - Waikiki Beach Marriott Resort & Spa, Honolulu, United States
    Duration: 22 Sep 201925 Sep 2019
    Conference number: 90


    ConferenceIEEE 90th Vehicular Technology Conference, VTC 2019-Fall
    Abbreviated titleVTC 2019-Fall
    Country/TerritoryUnited States
    Internet address


    • Receivers
    • frequency shift keying
    • Signal to noise ratio
    • Sensitivity
    • Correlation
    • Power demand
    • Correlators


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