【摘要】 在分析差分GPS数学模型的基础上,针对GPS移动终端抗遮蔽性差,由差分GPS数学模型直接计算的定位结果很难维持连续、准确位置信息的问题,采用BP神经网络的预测结果来进行定位目标,提高定位信息的实时性和准确性.确定了神经网络的结构,采用数据对网络进行训练,并对神经网络模型进行仿真.仿真结果达到了一定的定位精度,由此可以说明此方法具有一定的应用价值.更多还原

【Abstract】 In view of that GPS(global position systems) mobile terminals are poor in signal demasking and that the position resulting from direct computation by the mathematical model of GPS differentiation is difficult to keep the exact information continuously,the BP neural network is applied to position forecast,to improve the real-time accuracy of positioning information.With the neural network trained by the data introduced in and its model simulated,the results show that the positioning accuracy is quite high.It proves that this method is worth using.更多还原