摘要
为消除无线传感器网络定位中非视距误差对于定位性能的影响,提出了一种非视距误差的鉴别补偿算法。考虑到非视距误差会导致到达时间(TOA)信息起伏变化,从而使得由其计算的到达时间差(TDOA)信息统计均方差显著增大。算法依据这一特性鉴别非视距锚节点。同时,依据非视距误差的分布特性,通过测量TOA信息及鉴别出的视距锚节点预估的标签位置信息计算该误差,并对TDOA信息进行补偿,完成精确定位。仿真结果表明:该算法在非视距环境下具有良好的定位性能,能有效地抑制时差定位中非视距误差的影响。
In order to eliminate the influence of the non line-of-sight( NLOS) error over localization accuracy in Wireless Sensor Network( WSN),this paper presented a localization algorithm based on NOLS error identification and compensation. Given that the times-of-arrival( TOAs) of broadcast signals at anchors will take on drastic fluctuation due to the NOLS errors,we made the standard deviation of anchor-tag time-difference-of-arrival( TDOAs) magnified and the algorithm used it to identify anchors at which there were NLOS error. Furthermore,it applied the distribution of NLOS error,the an-chor-tag TOA information and the estimated Tag location information calculated by line-of-sight( LOS) anchor,and calculated the NLOS errors,then compensated the TDOA information. Simulation results show that this algorithm provides accurate location estimate in the NLOS situation and can eliminate the effect of NLOS errors over TDOA localization.
出处
《重庆理工大学学报(自然科学)》
CAS
2015年第10期120-126,共7页
Journal of Chongqing University of Technology:Natural Science
基金
国家自然科学基金资助项目(61201331)
关键词
无线传感器网络
非视距
到达时间
到达时间差
wireless sensor network
non line-of-sight
times-of-arrival
time-difference-of-arrival