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At the estimated position, the CFO estimation is then performed in two main steps.
Positive feedback is generated when users reject the estimated position and suggest a location based on their knowledge.
Figure 7 Evolution of the estimated position RMS error norm.
Multilateration of these points results in the estimated position.
The candidate position that minimizes f ( u ~ i ) is the estimated position of the unknown node.
This judgment is performed by comparing the position of the detected vehicle with the estimated position.
These errors are the calculated Euclidean distance between the true position and the estimated position.
The estimated position is calculated by Eq. (3) in online matching process.
The interpretation of the estimated position effects and model comparisons are explained.
Figures 15, 16, 17, 18 compare the estimated position results with those obtained from conventional methods.
Thereby, the estimated position is known at every sensor in consequence of this decentralized process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com