Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning
M.K. Hoang, R. Haeb-Umbach, in: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.
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Hoang, Manh Kha;
Haeb-Umbach, ReinholdLibreCat
Abstract
In this paper, we consider the Maximum Likelihood (ML) estimation of the parameters of a GAUSSIAN in the presence of censored, i.e., clipped data. We show that the resulting Expectation Maximization (EM) algorithm delivers virtually biasfree and efficient estimates, and we discuss its convergence properties. We also discuss optimal classification in the presence of censored data. Censored data are frequently encountered in wireless LAN positioning systems based on the fingerprinting method employing signal strength measurements, due to the limited sensitivity of the portable devices. Experiments both on simulated and real-world data demonstrate the effectiveness of the proposed algorithms.
Keywords
Gaussian processes;
Global Positioning System;
convergence;
expectation-maximisation algorithm;
fingerprint identification;
indoor radio;
signal classification;
wireless LAN;
EM algorithm;
ML estimation;
WiFi indoor positioning;
censored Gaussian data classification;
clipped data;
convergence properties;
expectation maximization algorithm;
fingerprinting method;
maximum likelihood estimation;
optimal classification;
parameters estimation;
portable devices sensitivity;
signal strength measurements;
wireless LAN positioning systems;
Convergence;
IEEE 802.11 Standards;
Maximum likelihood estimation;
Parameter estimation;
Position measurement;
Training;
Indoor positioning;
censored data;
expectation maximization;
signal strength;
wireless LAN
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Proceedings Title
38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
Page
3721-3725
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Cite this
Hoang MK, Haeb-Umbach R. Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. In: 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013). ; 2013:3721-3725. doi:10.1109/ICASSP.2013.6638353
Hoang, M. K., & Haeb-Umbach, R. (2013). Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning. In 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) (pp. 3721–3725). https://doi.org/10.1109/ICASSP.2013.6638353
@inproceedings{Hoang_Haeb-Umbach_2013, title={Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning}, DOI={10.1109/ICASSP.2013.6638353}, booktitle={38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)}, author={Hoang, Manh Kha and Haeb-Umbach, Reinhold}, year={2013}, pages={3721–3725} }
Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification of Censored Gaussian Data with Application to WiFi Indoor Positioning.” In 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 3721–25, 2013. https://doi.org/10.1109/ICASSP.2013.6638353.
M. K. Hoang and R. Haeb-Umbach, “Parameter estimation and classification of censored Gaussian data with application to WiFi indoor positioning,” in 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–3725.
Hoang, Manh Kha, and Reinhold Haeb-Umbach. “Parameter Estimation and Classification of Censored Gaussian Data with Application to WiFi Indoor Positioning.” 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), 2013, pp. 3721–25, doi:10.1109/ICASSP.2013.6638353.
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