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This research addresses localization techniques for mobile communication devices using nonlinear filtering.

March 15, 2026Open Access

Localization of DECT Mobile Phones Based on a New Nonlinear Filtering Technique

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Application of nonlinear filtering improves localization in mobile phones, suggesting enhanced accuracy over traditional methods.

This research addresses localization techniques for mobile communication devices using nonlinear filtering.
Applied nonlinear Bayesian filtering techniques for localization
Examined scenarios with DECT mobile phones and base stations
Used received signal power and nonlinear equations for position estimation
Included user motion models in the analysis
Compared new Prior Density Splitting Mixture Estimator to standard filtering methods
Improved localization quality with the new filtering technique
Significant advantages over the Extended Kalman Filter
Demonstrated effective positioning in complex scenarios

Rauh et al. (2003) studied this question.

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