Database Correlation Method for Multi-System Positioning

Paul Kemppi, Sami Nousiainen

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

    16 Citations (Scopus)


    The objective of this paper is to propose and evaluate database correlation method (DCM) for user positioning in heterogeneous network environment. The work is based on DCM developed earlier at VTT Research Centre of Finland. The proposed algorithm is capable of exploiting and combining measurements originating from multiple different networks (e.g. GSM and UMTS) and it utilizes filtering techniques (Kalman filtering) as well as external data (vectorized street network for map-matching) to further improve the positioning accuracy. Field trials are carried out to collect terminal measurement data from real operational GSM and UMTS networks, and from a WLAN indoor network. These measurements are used to evaluate the implemented algorithms. The results show that the proposed multi-system positioning algorithm with post-processing techniques improves positioning accuracy compared to the DCM resorting to only one network or without post-processing techniques
    Original languageEnglish
    Title of host publication2006 IEEE 63rd Vehicular Technology Conference
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)0-7803-9392-9
    ISBN (Print)0-7803-9391-0
    Publication statusPublished - 2006
    MoE publication typeA4 Article in a conference publication


    • Database Correlation Method
    • DCM
    • heterogeneous networks
    • mobile positioning
    • mobile terminal positioning
    • positioning


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