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对基于无线电信号的到达时间(TOA)的定位技术进行了研究.首先,建立了TOA测量值与真实值间的函数关系,通过求解含惩罚项的非线性最小二乘问题实现终端定位和噪声估计,并在已有研究的基础上提出了Alternating Iterative Reweighting(AIR)算法;其次,利用基站之间的几何位置进行筛选,根据每个终端信息完成自适应的最少基站的选择及定位;并结合物理特性实现终端运动轨迹预测;最后,根据基站通信半径筛选出可被定位终端,完成定位精度与终端平均连接度数之间关系的建模.
The positioning technology based on the arrival time of radio signals (TOA) is studied.First, the functional relationship between TOA measurements and real values is established, and the terminal location and noise estimation are achieved by solving the nonlinear least squares problem with penalty term , And proposes the Alternating Iterative Reweighting (AIR) algorithm on the basis of the existing research. Secondly, it uses the geometric positions of the base stations to filter, selects and locates the least adaptive base stations according to each terminal information, Finally, according to the communication radius of the base station, the model of the relationship between the terminal positioning accuracy and the terminal average connection degree can be screened out.