在室内环境中,无线信道中的非视距和多径传输等效应严重影响了Time of Arrival(TOA)定位系统的测距精度,从而导致较大的测量误差和定位误差。本文将测距值优化抽象为非线性规划问题,在实现LOS/NLOS场景识别的基础上,利用TOA测距误差模型和“目标-基站”间的几何约束为序列二阶非线性规划方法设置合理的初始值,建立了目标函数和约束条件,对定位测距值进行了有效校正。利用典型的TOA测距误差模型进行了仿真验证,利用具有TOA测距功能的无线定位节点在办公环境中进行了实测验证。结果表明,本文算法优化后的测距值精度上明显优于原始测距值和传统的测距值修正方法,从而验证了算法的有效性。 In the indoor environment, the effect of non-line-of-sight and multi-path transmission in the wireless channel seriously affects the ranging accuracy of the Time of Arrival (TOA) positioning system, resulting in large measurement errors and positioning errors. Based on the LOS / NLOS scene recognition, this paper uses the TOA ranging error model and the geometric constraint between “target and base station” to set up a reasonable second-order nonlinear programming method The initial value is established, the objective function and constraint conditions are established, and the effective location correction is achieved. The typical TOA range error model is used to verify the simulation. The wireless positioning node with TOA ranging function is used in the office environment. The results show that the accuracy of this algorithm is better than the original distance measurement and the traditional method of correcting the distance measurement value, so the validity of the algorithm is verified.