摘要
提出了一种使用判决和卡尔曼滤波器相结合抑制消除非视距(NLOS)误差的定位方法.该方法假设目标移动台正处于跟踪状态,首先对距离测量结果中是否存在NLOS误差进行判断;然后根据判决结果选择两种不同的滤波器,对于NLOS传播由偏差卡尔曼滤波器消除NLOS误差,而对于LOS传播由无偏差卡尔曼滤波器对测量值进行平滑处理;最后利用处理后的数据估计移动台的位置.仿真结果表明在NLOS传播环境下该方法具有较高的准确性,可以有效消除NLOS误差,取得满足要求的定位精度.
A new location method was presented to mitigate the influence of the non line of sight (NLOS) propagation using decision and Kalman filter. In this paper, the mobile station was supposed to be tracked. First, the range measurements of each base station(BS) were discriminated between line of sight (LOS) versus NLOS measurements. Then the raw data were processed by two different filters according to decision result. The biased Kalman filter was employed to mitigate the positive bias error when NLOS condition was detected and the unbiased Kalman filter was used to smooth data in the case of LOS. Finally, the position location of the mobile station was estimated. This method was verified to have good accuracy in NLOS condition and get required precision by the simulation results.
出处
《应用基础与工程科学学报》
EI
CSCD
2005年第2期194-200,共7页
Journal of Basic Science and Engineering
基金
哈尔滨工程大学校内基金项目(HEUF04100)
黑龙江省科技攻关项目(GZ04A127)
