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- W3131427006 abstract "This paper shows how the complementary advantages ofGPS and cellular received signal strength (RSS)positioning methods improves hybrid location estimationperformance in dense urban environments. In general,GPS techniques work best in rural or suburbanenvironments where there is only moderate building orlandscape clutter to interrupt sky visibility or to introduce multipath errors from reflected satellite signals. In contrast, cellular techniques work best in urbanenvironments where the density and geometry of celltowers is favorable. Test results show that cellular-RSS effectively can be used to eliminate GPS outliers (location errors > 1 km, such as those associated with cell-ID fallback mode), while GPS can improve the accuracy of the combined solution. Based on field trial data, the accuracy of the Minimum-Variance Hybrid Algorithm (in dense urbanenvironments) is approximately 45m for 67% of E911calls and 110m for 95% of E911 calls." @default.
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- W3131427006 date "2009-01-28" @default.
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- W3131427006 title "Design and Performance of a Minimum-Variance Hybrid Location Algorithm Utilizing GPS and Cellular Received Signal Strength for Positioning in Dense Urban Environments" @default.
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