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Using these measurements and a TDOA positioning method, the mobile user position can be estimated.
The correction matrix Δ p → is a collection of estimate errors for the mobile user position.
To achieve this goal, the mobile user position can be determined in both outdoor and indoor environments [1].
The time difference is converted into a distance difference, and so the mobile user position can be estimated.
The true mobile user position can then be considered as a sum of a current estimate and an estimate error as follows in Equation 20.
In addition, in the case when a number of visible satellites decrease, the user receiver cannot determine the mobile user position.
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The preliminary computational experience confirms the effectiveness of the new model in terms of power savings and resiliency against large variations of mobile user positions.
With enough T-DMB transmitters in the future, the mobile-user position could be determined by using the T-DMB transmission signal alone.
The algorithm obtains the mobile user's position using the GPS sensor when a mobile user changes the direction of his/her walking path in an outdoor area.
One effective solution is the k-nearest neighbor (kNN) algorithm to estimate the mobile user's position at the centroid of the K closest neighbors.
The inherent characteristic of the GPS signal and the satellite constellation lead to an increase in errors for the mobile user's position.
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