Mobility tracking enables efficient network control and very useful additional services, although accurate online estimations of both the location and the velocity of a mobile user are required. In this paper, we suggest a method of tracing a mobile by subsequently estimating its position through a Single Base Station Positioning method designed for microcells and third generation (3G) wireless communications systems. Raw data are then smoothed through a linear regression setup which adaptively varies its inertia on the basis of the previous observations. This results in a tracking method which is able to estimate both the location and the velocity of a user with a high accuracy, as proven by numerical results performed in different microcellular scenarios.
Estimating Position and Velocity of Mobile Terminals in a Microcellular Network Using an Adaptive Linear Regression Setup
NEPA, PAOLO;MANARA, GIULIANO;GIANNETTI, FILIPPO;
2004-01-01
Abstract
Mobility tracking enables efficient network control and very useful additional services, although accurate online estimations of both the location and the velocity of a mobile user are required. In this paper, we suggest a method of tracing a mobile by subsequently estimating its position through a Single Base Station Positioning method designed for microcells and third generation (3G) wireless communications systems. Raw data are then smoothed through a linear regression setup which adaptively varies its inertia on the basis of the previous observations. This results in a tracking method which is able to estimate both the location and the velocity of a user with a high accuracy, as proven by numerical results performed in different microcellular scenarios.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
