摘要
超宽带(UWB)是一种全新的且定位精度较高的室内定位技术,但在复杂的室内环境中,超宽带信号易受环境的干扰而出现信号盲区和定位误差较大的情况。为解决这一问题,在深入研究微惯性传感器(MEMS)与超宽带定位原理与算法的基础上,提出采用MEMS辅助UWB定位的算法,以提高定位精度。实验结果表明,MEMS/UWB算法与单独的UWB定位算法相比,有效提高了定位覆盖率以及定位精度。
UWB is a kind of indoor positioning technology with the advantage of high positioning accuracy,but its signal is vulnerable to the interference of environment and appears the case of signal blind area and large positioning error in the indoor complex environment. To solve the problem,it is put forward adopting MEMS ai- ding UWB to realize the high precision positioning on the basis of the principle and algorithm for further study of MEMS and UWB. The experimental results show that the algorithm can realize the positioning of signal blind area and low positioning accuracy not meet the demand. Compared with single UWB positioning algorithm, al- gorithm improves effectively the coverage and positioning accuracy.
出处
《河南理工大学学报（自然科学版）》
CAS
北大核心
2017年第5期100-105,共6页
Journal of Henan Polytechnic University（Natural Science）
基金
国家自然科学基金资助项目(41476087
41574010
41274045)
