Multidimensional Scaling
Multidimensional scaling (MDS) is a crossbred from psychology mathematics. However, uncertainty about the model to represent correct dimensionality of the data sample is not the problem in terrestrial locating. The methods developed for MDS application serve well for easy implementation of locating functions. Hence applying MDS is a strong approach to perform the locality computing . Currently reported approaches do not consider moving nodes with TOA distance metrics and special motion models, but anyhow the method is rather docile to prevent from faulty results.
The processing of available data does not compensate for the error sources without the traditional concepts:
- removing outlying data measurements first
- sampling and computing statistics for the remaining measurements
- predicting and correcting for motion tracks
- matching with context information
- taking into account the basing statistical model conditions
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