车载导航系统精确定位算法的优化

针对车载导航系统下定位的点转换到实际电子地图的过程中存在误差，通过改善坐标转换模型来提高车载导航系统的定位精度，在经典的平面转换算法的基础上，首先利用高斯投影把全球定位系统接收的(B，L)坐标转化成平面坐标(X，Y)；其次根据最小二乘法，确定转换参数；同时把公共点本身误差作为随机参数处理，将转换参数作为非随机参数，利用最小二乘法配置建立转换模型，以得到稳定的参数估值，避免了公共点因分布不均引起的误差．与传统算法相比，实验结果验证了该算法具有更高的实时性和稳定性．

Vehicle navigation system optimization of precise positioning algorithm

Errors exist in the vehicle navigation system under the positioning of the point conversion to the actual electronic map in the process. In order to improve the vehicle navigation system positioning precision by ameliorating the coordinate transformation model, on the basis of classical plane transformation algorithms, we first use the gauss projection of the GPS receiving (B, L) coordinates into plane coordinates (X, Y), Then, According to the least squares method, we obtain the transformation parameter. At the same time, the error of the common point itself serves as a random processing parameters. According to the method of least square configuration model, we transform parameters as nonrandom parameters. In order to obtain a stable parameter estimation, we avoid the common point error caused by of the uneven distribution. Experimental results show that the algorithm has a higher real-time property and stability.