基于非线性规划的室内TOA测距值优化方法

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.