摘要
针对基于接收信号强度(RSS)的室内无线定位方法存在信号误差的问题,引入了一种基于模糊自适应控制的卡尔曼滤波算法。该滤波方法不仅有效地抑制了定位数据信息的误差发散,而且能充分利用线性插值法对随机误差进行补偿。实验表明它对静止和移动目标都能有效的提高定位精度,能较全面地满足复杂室内空间定位的需求。
This paper is mainly concerned with finding ways to resolve the signal inaccuracy problem in indoor wireless positioning system which based on receiving signal strength （RSS）. It introduced a kind of kalman filtering algorithm which based on fuzzy adaptive control. This filter method cannot only effectively suppress the error of positioning data information, but is also able to make full use of linear interpolation method to compensation stochastic error. Experiments show that it can effectively improve the positioning accuracy against stationary and moving target, and can more full satisfy the complex interior space positioning demand.
出处
《计算机系统应用》
2011年第11期76-79,共4页
Computer Systems & Applications
基金
国家自然科学基金(60873230)
关键词
无线局域网
室内定位
卡尔曼滤波
实时跟踪
线性插值
wireless LAN
indoor positioning
kalman filtering
real-time tracking
linear interpolation
