室内环境内的改进型Taylor级数定位算法

Modified Taylor Series Position Algorithm in the Indoor Environment

由于传统基于信号强度的Taylor级数定位算法是将信号强度转换为距离,会产生误差累积。在此基础上直接采用信号强度路径损耗模型,提出基于Taylor级数展开法的一种新室内定位算法,消除了误差累积;通过几何数学估计初始位置的方法解决了初始位置的选取问题。仿真试验表明,该方法避免了Taylor级数定位算法的缺陷,定位精度高,复杂度低。

The conventional Taylor series algorithm based signal strength converts the signal strength as distance, it will produces error accumulation effect. Adopt the Signal Strength Pass Loss Model directly and make use of the Taylor Series to deduce a new indoor location algorithm, removing the error accumulation effect; Moreover, proposing a new geometry mathematics method to estimate the initial value for resolving the selection problem of the initial value. Comparisons of performance with traditional Taylor series algorithm is made, the accuracy of the proposed algorithm is higher and the complication is lower.