A new version of an open form localisation algorithm, called regularised location estimator (RLE), for time difference of arrival (TDOA) multilateration systems is proposed. This algorithm is based on Tikhonov regularisation and on maximumlikelihood estimation. It is aimed to solve the localisation problem for both well-conditioned and ill-conditioned situations. It provides solutions that are statistically and numerically efficient, in contrast to the algorithms in the literature providing solutions that are only efficient in one sense and that do not solve the ill-conditioned situations, which can be found in some operational conditions. A recursive formulation for estimating the regularisation parameter is provided and some mathematical analyses about the proposed estimator are also presented. A comparison with a large number of open and closed form algorithms in the literature is performed with both simulated and real data. The results show that the novel TDOA-RLE provides superior performance even in the case of well-conditioned situations. © The Institution of Engineering and Technology 2014.

Mantilla Gaviria, I., Leonardi, M., Galati, G., Balbastre Tejedor, J. (2014). Time-difference-of-arrival regularised location estimator for multilateration systems. IET RADAR, SONAR & NAVIGATION, 8(5), 479-489 [10.1049/iet-rsn.2013.0151].

Time-difference-of-arrival regularised location estimator for multilateration systems

LEONARDI, MAURO;GALATI, GASPARE;
2014-06-01

Abstract

A new version of an open form localisation algorithm, called regularised location estimator (RLE), for time difference of arrival (TDOA) multilateration systems is proposed. This algorithm is based on Tikhonov regularisation and on maximumlikelihood estimation. It is aimed to solve the localisation problem for both well-conditioned and ill-conditioned situations. It provides solutions that are statistically and numerically efficient, in contrast to the algorithms in the literature providing solutions that are only efficient in one sense and that do not solve the ill-conditioned situations, which can be found in some operational conditions. A recursive formulation for estimating the regularisation parameter is provided and some mathematical analyses about the proposed estimator are also presented. A comparison with a large number of open and closed form algorithms in the literature is performed with both simulated and real data. The results show that the novel TDOA-RLE provides superior performance even in the case of well-conditioned situations. © The Institution of Engineering and Technology 2014.
giu-2014
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ING-INF/03 - TELECOMUNICAZIONI
English
Con Impact Factor ISI
Algorithms, Ill-conditioned; Localisation; Mathematical analysis; Multilateration system; Operational conditions; Recursive formulation; Regularisation; Time difference of arrival, Estimation
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6824669&tag=1
Mantilla Gaviria, I., Leonardi, M., Galati, G., Balbastre Tejedor, J. (2014). Time-difference-of-arrival regularised location estimator for multilateration systems. IET RADAR, SONAR & NAVIGATION, 8(5), 479-489 [10.1049/iet-rsn.2013.0151].
Mantilla Gaviria, I; Leonardi, M; Galati, G; Balbastre Tejedor, J
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/93118
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