摘要
通过RFID标签在室内的精准坐标定位来确定用户在室内的位置。定位算法通过PDOA测量用户与识读器标签之间的距离,由于误差的存在,通过梯度下降算法迭代逼近精确位置。迭代过程中使用Hesse矩阵来得到梯度下降的最优步长,减少迭代次数。仿真实验证明算法在智能家居系统定位的速度和精确度。
Through the precise positioning coordinates of RFID tag, the user＇s location is determined. The distance be-ween the user and the RFID reader is measured by PDOA algorithm, because of the presence of measurement errors,the radient descent algorithm is used to get precise location During the iterations, Hesse matrix is used to get the optimal gra-ient descent step, then to reduce the number of iterations. Simulation results show that the location algorithm can improve he speed and precision of the user location in the intelligent home system.
出处
《计算机与数字工程》
2016年第8期1439-1442,共4页
Computer & Digital Engineering
基金
山东工商学院青年基金(编号:2014QN029)资助
关键词
智能家居
RFID
定位算法
梯度下降
最优步长
intelligent home, RFID, location algorithm, gradient descent, optimal step size
