Hyperbolic passive location of targets (e.g. used in the Multilateration systems for civil aviation) calls for the solution of highly non-linear systems. In this paper, we show how the effect of typical ill-conditioning of passive location, arising in many operational conditions, may be significantly mitigated by regularization techniques. The pertaining advantages with respect to the conventional (non-regularized) approach are shown in a realistic situation
Mantilla Gaviria, I., Leonardi, M., Balbastre Tejedor, J., Reyes, E. (2013). On the application of singular value decomposition and Tikhonov regularization to ill-posed problems in hyperbolic passive location. MATHEMATICAL AND COMPUTER MODELLING, 57(7-8), 1999-2008 [10.1016/j.mcm.2012.03.004].
On the application of singular value decomposition and Tikhonov regularization to ill-posed problems in hyperbolic passive location
LEONARDI, MAURO;
2013-04-01
Abstract
Hyperbolic passive location of targets (e.g. used in the Multilateration systems for civil aviation) calls for the solution of highly non-linear systems. In this paper, we show how the effect of typical ill-conditioning of passive location, arising in many operational conditions, may be significantly mitigated by regularization techniques. The pertaining advantages with respect to the conventional (non-regularized) approach are shown in a realistic situation| File | Dimensione | Formato | |
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