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对基于无线通信基站的室内三维定位问题进行了研究,建立了测量误差模型和终端定位模型.建立了TOA测量误差模型和基于测量误差估计的终端定位模型,提出了基于空间几何约束和测量噪声抑制的定位算法;分别在相对时间误差、最大时延、最小时延和随机法四种基站筛选方案下,分析了不同基站数目对定位精度的影响;利用轨迹上相近点的信道状态信息的相关性,采用Kalman滤波算法计算了终端运动轨迹;基于假设性检验,通过递减迭代搜索算法,得到了可定位终端数;建立了基站不同覆盖范围下,终端连接度数与定位精度之间关系的分析模型.
The indoor 3D positioning problem based on wireless communication base station is studied, and the measurement error model and the terminal location model are established.The TOA measurement error model and the terminal location model based on the measurement error estimation are established, and the space-based geometric constraints and measurement noise suppression The influence of the number of different base stations on the positioning accuracy is analyzed under the four screening schemes of relative time error, maximum delay, minimum delay and random method respectively. By using the correlation of the channel state information of similar points in the trajectory, , The Kalman filter algorithm was used to calculate the trajectory of the terminal. Based on the hypothesis test, the number of locatable terminals was obtained by decreasing the iterative search algorithm. The analytical model of the relationship between terminal connection degree and positioning accuracy was established under different coverage areas of base stations.