Abstract:
A method utilized in a wireless communication system having a mobile device and a plurality of base stations includes obtaining a geometric matrix according to a plurality of relative distances between the mobile device and the plurality of base stations, obtaining a weighted matrix according to the mobile device and the plurality of base stations, obtaining a weighted geometric dilution of precision according to the weighted matrix and the geometric matrix, so as to obtain a weighted geometric dilution of precision closed form, and choosing a plurality of selected base stations from the plurality of base stations according to the weighted geometric dilution of precision closed form to position the mobile device.
Abstract:
A method for selecting a plurality of base stations to position a mobile device is provided. The method includes selecting a plurality of base station sets from the plurality of base stations, wherein each of the plurality of base station sets corresponds to a distance matrix, utilizing a first artificial neural network (ANN) unit to select a predefined number of the plurality of base station sets from the plurality of base station sets according to a plurality of distance matrixes corresponding to the plurality of base station sets; and utilizing a second ANN unit to position the mobile device according to the predefined number of the plurality of base station sets.
Abstract:
A method utilized in a wireless communication system having a mobile device and a plurality of base stations includes obtaining a geometric matrix according to a plurality of relative distances between the mobile device and the plurality of base stations, obtaining a weighted matrix according to the mobile device and the plurality of base stations, obtaining a weighted geometric dilution of precision according to the weighted matrix and the geometric matrix, so as to obtain a weighted geometric dilution of precision closed form, and choosing a plurality of selected base stations from the plurality of base stations according to the weighted geometric dilution of precision closed form to position the mobile device.
Abstract:
A method for selecting a plurality of base stations to position a mobile device is provided. The method includes selecting a plurality of base station sets from the plurality of base stations, wherein each of the plurality of base station sets corresponds to a distance matrix, utilizing a first artificial neural network (ANN) unit to select a predefined number of the plurality of base station sets from the plurality of base station sets according to a plurality of distance matrixes corresponding to the plurality of base station sets; and utilizing a second ANN unit to position the mobile device according to the predefined number of the plurality of base station sets.
Abstract:
A method for positioning a mobile device in a wireless wide area network (WWAN) is provided. The method includes determining three measurement circles according to coordinates of three base stations and respectively calculating radiuses of the three measurement circles and distances between the three base stations. The method uses genetic algorithm to derive the best solution of a plurality of variables of an object function and estimates the position of the mobile device according to the best solution. Accordingly, non-line-of-sight (NLOS) errors are reduced, and more accurate positioning can be provided.
Abstract:
A method for positioning a mobile device in a wireless wide area network (WWAN) is provided. The method includes determining three measurement circles according to coordinates of three base stations and respectively calculating radiuses of the three measurement circles and distances between the three base stations. The method uses genetic algorithm to derive the best solution of a plurality of variables of an object function and estimates the position of the mobile device according to the best solution. Accordingly, non-line-of-sight (NLOS) errors are reduced, and more accurate positioning can be provided.