2011
DOI: 10.3390/s110908569
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Weighted Least Squares Techniques for Improved Received Signal Strength Based Localization

Abstract: The practical deployment of wireless positioning systems requires minimizing the calibration procedures while improving the location estimation accuracy. Received Signal Strength localization techniques using propagation channel models are the simplest alternative, but they are usually designed under the assumption that the radio propagation model is to be perfectly characterized a priori. In practice, this assumption does not hold and the localization results are affected by the inaccuracies of the theoretica… Show more

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Cited by 124 publications
(151 citation statements)
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“…To determine user positions using only the L1 code observation values of the GPS satellites and the GLONASS satellites, the weighted least squares method was applied (Tarrio et al 2011).…”
Section: Combined Gps/glonass Positioning Methods and Results Verificationmentioning
confidence: 99%
“…To determine user positions using only the L1 code observation values of the GPS satellites and the GLONASS satellites, the weighted least squares method was applied (Tarrio et al 2011).…”
Section: Combined Gps/glonass Positioning Methods and Results Verificationmentioning
confidence: 99%
“…LMS algorithm can be considered as a basic machine learning algorithm, widely used for parameter estimation [35]. LMS allows finding the values of parameters of a function after several iterative calculations in a computationally efficient way [36].…”
Section: Lms Methodsmentioning
confidence: 99%
“…is paper, the weighted least squares method (Tarrío et al 2011) of Eq. (4) is used to estimate ion and clock errors of a receiver.…”
Section: Measurement Models For Single-frequency Users (고딕)mentioning
confidence: 99%