基于梯度博弈的RFID室内定位算法

随着普适计算的不断发展,室内定位技术成为了当今研究的热点问题。室内空间的复杂性使得室内空间的定位精度一直无法满足应用的需求。为了获得更加高效稳定的算法,提出了一种基于梯度和博弈论的室内定位算法,其能够较为有效地提高室内空间的定位精度。在算法中,提出了一种室内的符号划分方法,并利用其对室内空间进行了分割以辅助定位算法。最后以室内为实验环境对算法进行了验证,分析结果表明,该算法拥有良好的定位效果,并且相对于现有算法更稳定。

Gradient and Constant-game Based RFID Indoor Localization Algorithm

With the continuous development of universal computing research,indoor localization technology has become a hot topic in current research.Due to the complexity of the indoor space,enhancing the positioning accuracy of the indoor space has been unable to meet the needs of the application.In order to obtain a more efficient and stable algorithm,this paper proposed an indoor localization algorithm based on gradient and game theory.The algorithm can more effectively improve the positioning accuracy in indoor space.In the algorithm,a method of dividing the indoor space based on the symbol is proposed.At the same time,it segments the indoor space to support localization.Finally, the results of experimental validation of the algorithm show that the algorithm has good effect,and has more stable effect than the exi-sting algorithm.