Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 56, Issue 1, Pages 287-296Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2006.883785
Keywords
Kalman filtering; location accuracy; location estimation; radio propagation; received signal strength (RSS)
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The accuracy of location methods based on received-signal-strength (RSS) measurements is highly variable, but the underlying causes are not well known. In this paper, narrow-band measurements at five VHF-frequencies are used to evaluate the accuracy of RSS-based location algorithms. The least squares algorithm is the most accurate if the propagation model is unbiased. Location error increases linearly with mean distance from transmitters and with RSS variation caused by shadow fading or varying antenna gain. Since shadow fading increases with frequency, location accuracy decreases with frequency. A satisfactory approximation of location accuracy in a given network is obtained by the error estimates that are based on linearization but modified when the receiver is close to one transmitter. Kalman filtering performed on the estimated coordinates removes the largest location errors, but it does not improve the median accuracy significantly due to the correlated shadowing process.
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