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为了避免室内定位受环境变化、遮蔽物遮挡等因素的影响,提出了一种动态射频地图构建方法,通过参数估计节点动态感知环境参数的变化,采用回归分析方法实时估计信号传播经验模型的参数,基于参数估计节点估计的环境参数、模型参数及信号强度等信息建立具有环境自适应能力的动态射频地图,然后采用粒子滤波算法实现对未知节点的位置估计。仿真及实验结果表明,该地图构建方法可动态适应环境的变化,定位算法可取得较精确的位置估计结果。
In order to avoid the impact of indoor positioning due to environmental changes and shelter occlusion, a dynamic radio frequency map construction method is proposed to estimate the parameters of dynamic sensing environment parameters through parameter estimation. Regression analysis is used to estimate the parameters of signal propagation empirical models in real time. A dynamic RF map with environment adaptability is established based on the information of environment parameters, model parameters and signal intensity estimated by parameter estimation node. Then the particle filter algorithm is used to estimate the position of unknown node. Simulation and experimental results show that the method can dynamically adapt to the changes of the environment, and the positioning algorithm can obtain more accurate position estimation results.