基于感知规则集策略的约束空间RFID室内符号定位算法

随着普适计算的不断发展,室内定位技术的研究也成为当今研究的热点问题。室内定位技术的不断进步使得RFID也开始部署到各种各样的室内场景。为了提高室内空间中的定位精度,提出了一种基于感知规则集策略的约束空间RFID室内符号定位方法。算法基于室内空间中的符号,通过定义感知情况来确立定位规则,使得算法具有良好的室内空间适应性,且使用少量的阅读器即可实现较高精度的定位。为了提高定位精度,引入了感知规则集的概念,对场景中的情况抽象提取,进一步增加算法定位精度。最后,以约束空间中的室内场景作为实验环境对算法进行验证,分析结果表明,在室内空间中算法的定位精度及抗干扰能力优于现有算法。

RFID Indoor Symbolic Localization Algorithm Based on Strategy of Perception Ruleset in Constrained Space

With the continuous development of universal computing research,indoor localization technology has become a hot topic in current research.Advances in technology on RFID indoor positioning have made RFID deployed into a widely variety of indoor scenes.In order to improve the localization accuracy of indoor space,we proposed an RFID indoor symbolic localization method based on strategy of perception ruleset in constrained space.The algorithm uses the sign of the indoor space and defines the perception of the situation to establish the location rules,so that the algorithm has better adaptability in indoor space and can use smaller amount of RFID readers to achieve higher accuracy localization.In order to improve the localization accuracy,we proposed the concept of the perception ruleset and abstractly extracted the scene for the algorithm to further increase the localization accuracy.We finally performed experiments in constrained indoor corridors,and the results show that the proposed algorithm has higher performance not only on localization accuracy but also on anti-interference ability than existing algorithms.