基于非线性规划的室内TOA测距值优化方法

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到达时间（TOA）定位系统的测距值精度，从而导致较大的测量误差和定位误差。将测距值优化抽象为非线性规划问题，在实现视距/非视距（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，该方法优化后的测距值精度明显优于原始测距值和传统的测距值修正方法，从而验证了该方法的有效性。

Indoor TOA ranging value optimization method based on nonlinear programming

The ranging accuracy of time of arrival (TOA) based indoor positioning system is significantly affected by multipath and non-line-of-sight (NLOS) of wireless channel in indoor environment. And these effects result in large measurement error and positioning error. In this paper, the optimization of distance is defined as a nonlinear programming problem. Based on the detection of line of sight (LOS) and NLOS, TOA ranging error model and geometric constraints between target and base stations are used to define the initial values, objective functions and constraint conditions for sequential quadratic nonlinear programming method effectively calibrates the positioning distance value. The typical TOA range error model is used for simulation. Field validation uses wireless positioning nodes with TOA ranging functions in the office environment. The results show that the ranging accuracy of the proposed algorithm is much higher than original range value and the other traditional distance mitigation algorithms , which verifies the effectiveness of the proposed algorithm.