One Base Station Approach for Indoor Geolocation System using RFID

Abstract

The proliferation of mobile computing devices and wireless geolocation networks has fostered a growing interest in location-aware systems and devices. Most technologies always use at least three base stations for computing the position of the target objects, including RFID (Radio Frequency Identification). This paper suggests a novel algorithm, using the RFID-system, to support one reader for localizing target tags amid the clutter of indoor interference environments, based on the metrics of the received signal strength and the time of flight. This algorithm attempts to specify the target tag among four-nearest neighbors as the four-reference tags, and adapt the weighted-center of gravity technique. The method provides a level of accuracy of about 1.07m as the total error average of positioning 10-target tags in various interference environments that are generated on all sector-functions. The total error averages of the 3-6 sectors functions are 1.18m, 0.74m, 1.6m, and 0.78m on one reader in an area of 12m by 10m. The effects of interference in the simulation indicated that the accuracy is better for the even-sector-functions as the input-signals' generator for this algorithm.

Passive geolocation of mobile subscribers using a single base station with third party capture

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“…A method employing a collection device was proposed in [5] to combine propagation time with the unique RSS profiles created in an indoor environment to locate a radio frequency identification tag. The CELLO Consortium project report also contains a number of potential single base station geolocation techniques [6].…”