摘要
为解决室内环境下无线信号受到反射和衍射给定位精度造成影响的问题,基于UWB的TOA测距技术对室内用户进行精准定位,并分析了参考节点接收到UWB信号的特征,提出基于校验窗的TOA估计算法。各个能量样本独立判决,通过多个能量样本联合检测提高了估计精度,信号经过带宽滤波减少了UWB信号中的噪声分量。针对信号传播过程中室内环境因素造成的非视距误差,使用扩展卡尔曼滤波算法抑制非视距误差对定位精度的影响。试验结果表明,定位误差最低为0.01 m,采样点均方根误差趋近于0,大大增加了无线定位能力。
In order to solve the problem that the wireless signal is affected by reflection and diffraction in the indoor environment,the indoor users were located accurately by means of TOA ranging technology based on UWB,and the characteristics of the UWB signal received at the reference node were analyzed,and the check window-based TOA estimation algorithm was proposed.Each energy sample was independently determined,and the estimation accuracy was improved through the joint detection of multiple energy samples.The signal was filtered through bandwidth to reduce the noise component in the UWB signal.Aiming at the non-line-of-sight error caused by indoor environmental factors in the signal propagation process,the extended Kalman filter algorithm was used to suppress the influence of the non-line-of-sight error on the positioning accuracy.The test results show that the minimum positioning error is 0.01 m,and the root mean square error of the sampling point approaches zero.The method greatly increases the wireless positioning capability.
作者
王明涛
汪文元
叶亚林
卢玉龙
汪广明
何滔
Wang Mingtao;Wang Wenyuan;Ye Yalin;Lu Yulong;Wang Guangming;He Tao(China Energy Dadu River Shaping Power Generation Co.,Ltd.,Leshan Sichuan 614300,China)
出处
《电气自动化》
2022年第5期78-80,83,共4页
Electrical Automation
基金
四川省重大科技专项项目(2018GZDX0043)。
关键词
超宽带
TOA估计
能量样本
非视距误差
卡尔曼滤波
ultra-wideband
TOA estimation
energy sample
non-line-of-sight error
Kalman filter
