Stochastic Radio Interferometric Positioning in the 2.4 GHz Range

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    This paper presents a novel Radio Interferometric Positioning System (RIPS), which we call Stochastic RIPS (SRIPS). Although RIPS provides centimeter accuracy, it is still not widely adopted due to (1) the limited set of suitable radio platforms and (2) the relatively long measurement and calibration times. SRIPS overcomes these practical limitations by (1) omitting the calibration phase of the existing RIPS and by (2) applying a novel positioning algorithm. SRIPS exploits the phenomenon of the small but stable difference between two transmitted frequencies that often exists when two radios are tuned to the same frequency. We obtain an experimental measure for this stability. This approach enables the implementation of RIPS on commonly available radio platforms, such as the CC2430, because fine-tuning in small steps relative to the beat frequencies for calibration is not required. In addition, we show that SRIPS calculates the position that provides the best fit to the set of measurements, given the underlying statistical and propagation models. Therefore, SRIPS converges more accurately to the true locations in a variety of situations of practical interest. Experiments in a 20x20m2 set-up verify this and show that our SRIPS CC2430 implementation reduces the number of required measurements by a factor of three, and it reduces the measurement time to less than 0.1 seconds, while providing accuracy similar to that of the existing RIPS implementation on the CC1000 platform, which requires seconds.
    Original languageUndefined
    Title of host publicationProceedings of the 9th ACM Conference on Embedded Networked Sensor Systems (SENSYS 2011)
    EditorsJeong Gil Ko, Joakim Eriksson, Nicolas Tsiftes, Stephen Dawson-Haggerty, Jean-Philippe Vasseur, Mathilde Durvy
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery (ACM)
    Number of pages13
    ISBN (Print)978-1-4503-0718-5
    Publication statusPublished - 1 Nov 2011
    Event9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011 - Seattle, United States
    Duration: 1 Nov 20114 Nov 2011
    Conference number: 9

    Publication series



    Conference9th ACM Conference on Embedded Networked Sensor Systems, SenSys 2011
    Abbreviated titleSenSys
    Country/TerritoryUnited States
    Internet address


    • METIS-284919
    • IR-78539
    • Tracking
    • EWI-20767
    • Radio Interferometric Localization
    • Wireless Sensor Networks
    • Localization
    • RSS-based Localization

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