计算机工程与应用2012，Vol.48Issue(8)：230-232,3.DOI:10.3778/j.issn.1002-8331.2012.08.065
基于RSSI的机器人室内卡尔曼滤波定位算法研究
Study of robot indoor Kalman filter positioning algorithm based on RSSI
安雷 1张国良 1汤文俊1
作者信息
- 1. 第二炮兵工程学院301教研室,西安710025
- 折叠
摘要
Abstract
For the difficult problem of mobile robot positioning in indoor environment, this paper puts forward the Kalman filter positioning algorithm based on RSSI. The positioning algorithm based on RSSI is utilized to forecast the location of user, which the Kalman filter is used to optimize, in order to enhance the performance and stability of indoor positioning system. Experimental results show that the Kalman filter positioning algorithm, which has the robustness, can effectively improve the locational precision of indoor positioning system, and that the prospective objective is reached.关键词
机器人定位/室内环境/最小二乘法/卡尔曼滤波Key words
robot positioning/ indoor environment/ least squares method/ Kalman filter分类
信息技术与安全科学引用本文复制引用
安雷,张国良,汤文俊..基于RSSI的机器人室内卡尔曼滤波定位算法研究[J].计算机工程与应用,2012,48(8):230-232,3.
