| 摘要： | The artificial neural network (ANN) uses the method of counterfeiting biological neural connection computingability to find the optimal solution. In this paper, we apply neural network learning algorithms to approximate
the value of weight geometric dilution of precision (WGDOP) to optimize wireless positioning accuracy in mobile communication system. By selecting the base-station (BS) set with the minimum of WGDOP to locate the mobile station position, it can reduce the effects of geometric distribution and improve positioning accuracy. In this paper, we choose the best combination of four base-stations for positioning the mobile station (MS), and
each BS can measure signal arrival time. The architecture we proposed in this research can be applied to the global positioning system, wireless sensing network and mobile communication system.Key Word:Artificial Neural Network (ANN); Weight Geometric Dilution of Precision (WGDOP); Mobile Station Positioning; Mobile communication system. |
