【摘要】 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更多还原

【Abstract】 An exact linearization method was developed to overcome the drawbacks of local linearization based on Taylor series expansion, which introduces errors due to the neglected higher order terms. The area coordinate system, which has more quadrant information than the rectangular coordinate system, was used to derive the augmented quadrant based linearization method to solve the optimal range location problem. Numerical results show that the linear range location method based on the augmented quadrant information drastically improves the position estimate accuracy. The methodology can be used to automatically locate mobile phones in cellular communication systems.更多还原