By Calafiore, Giuseppe Carlo; Wei, Mingzhu; Carlone, Luca
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Extra info for Sensor Fusion for Position Estimation in Networked Systems
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The fact that the equivalence issue between the combined filtering process and the centralized fusion filtering process. To sum up, as can be seen from the above analysis, the algorithm of combined filtering process is greatly simplified by the use of variance upper-bound technique. e. combined filtering model is equivalent to centralized filtering model in the estimated accuracy. 3 Adaptive Determination of Information Distribution Factor By the analysis of the estimation performance of combined filter, it is known that the information distribution principle not only eliminates the correlation between sub-filters as brought from public baseline information to make the filtering of every sub-filter conducted themselves independently, but also makes global estimates of information fusion optimal.
Thus, the choice of one or the other (respectively represented in the problem definition section by equations (4) and (3)) will be based on the available information. Air traffic trajectories segmentation based on time-series sensor data 41 With the units given by the available information, Figure 5 shows the effect of different resolutions over a given turn trajectory, along with the results over those resolutions. Fig. 5. Comparison of transformed domain values and pre-classification results 42 Sensor Fusion and Its Applications Observing the presented results, where the threshold has been calculated according to the procedure explained in the following section, we may determine the resolution effects: short segments exhibit several handicaps: on the one hand, they are more susceptible to the noise effects, and, on the other hand, in some cases, long smooth non-uniform MM segments may be accurately approximated with short uniform segments, causing the algorithm to bypass them (these effects can be seen in the lower resolutions shown in figure 5).
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