为克服基于 Taylor级数展开的局部线性化方法因忽略高阶项而引入定位误差的缺点 ,该文提出了一种新的象限线性化测距定位方法。利用面积坐标系比直角坐标系具有更多象限信息的特点 ,推导了 3站和一般情况下非线性测距方程的精确线性化方法 ,解决了最佳线性测距定位估计问题。仿真实验表明 ,与常规的几何测距定位方法相比 ,基于面积坐标系增强型象限信息的线性测距定位方法具有更高的定位估计精度。在蜂窝移动通信手机自动定位问题中 ,该方法具有一定的应用价值 In order to overcome the shortcomings of the local linearization method based on the Taylor series expansion and the introduction of the positioning error due to ignoring higher order terms, a new quadrant linearized localization method is proposed. Using the characteristic that the area coordinate system has more quadrant information than Cartesian coordinate system, the exact linearization method of nonlinear ranging equation at three stations and in general is deduced, which solves the problem of optimal linear ranging location estimation. Simulation results show that, compared with the conventional geometric location method, the linear location method based on the enhanced quadrant information of the area coordinate system has higher localization accuracy. In cellular mobile communication mobile phone automatic positioning problem, this method has some application value