摘要
针对TOA无线定位中容易受非视距影响等问题,提出了一套有效减小非视距误差的无线测距系统.通过建立消除非视距误差的卡尔曼滤波模型来消除随机干扰,利用实测数据进行离线滤波仿真,从而验证模型的有效性.以ATmega1280微处理器为控制器,nanoPAN 5375为射频芯片,设计了一套测距系统,并在测距平台上进行实际测试.结果表明,测距系统能够完成实时动态滤波,有效减少非视距误差,测量精度较高,可直接应用于存在NLOS环境下的定位.
In order to solve the problem that the TOA-based wireless location is easily influenced by non-line-of-sight （NLOS）, a set of wireless ranging system for effectively mitigating NLOS error was proposed. The Kalman filtering model for mitigating NLOS error was established to eliminate the random interference. The off-line filtering simulation with the test data was carried out to verify the effectiveness of the model. In addition, a set of ranging system was designed with taking the ATmega1280 microprocessor as the controller and the nanoPAN 5375 as the radio frequency chip, and the actual test was performed on the ranging platform. The results show that the ranging system can accomplish the real-time dynamic filtering and reduce the NLOS error, and has a higher measurement precision. Furthermore, the ranging system can be directly applied to the location under the NLOS environment.
出处
《沈阳工业大学学报》
EI
CAS
北大核心
2014年第2期204-209,共6页
Journal of Shenyang University of Technology
基金
辽宁省教育厅科学技术研究基金资助项目(L2010438)
关键词
到达时间
无线定位
非视距
测距
卡尔曼滤波
随机干扰
动态滤波
射频芯片
time of arrival （TOA）
wireless location
non-line-of-sight （NLOS）
ranging
Kalman filtering
random interference
dynamic filtering
radio frequency chip
