基于半参数估计的智能手机WiFi RTT定位方法

近年来，以智能、智慧为特征的新经济社会形态不断涌现，依托智能手机实现低成本高精度泛在定位的需求日益迫切。总体上看，以卫星导航传感器为核心，融合异构化测距信号是实现高精度定位的主要手段。在简要分析了WiFi-RTT测距信号质量的基础上，定量分析了WiFi-RTT系统的误差特点，利用半参数方法构造了WiFi-RTT定位的观测模型和随机模型，并通过实测数据对该方法的精度和可靠性进行了验证。试验表明：WiFi-RTT定位在静态和动态条件下可实现精度优于0.4m和0.6m的定位。相关研究对于推动智能手机的高精度定位应用具有重要参考价值。

WiFi-RTT Positioning Method Based on Semi-parameter Estimation for Smartphone

In recent years, with new economic and social forms characterized by intelligence, the demands for low-cost and high-precision ubiquitous location services based on smartphones are urgent. In general, with satellite navigation sensors as the core, the fusion of heterogeneous ranging signals is the main mean to achieve high-precision positioning. Based on the brief analysis of the quality of the WiFi-RTT ranging signal, this paper quantitatively analyzes the error characteristics of WiFi-RTT system, and constructs the observation model and random model of WiFi-RTT positioning by semi-parameter method, and verifies the accuracy and reliability of the method through the measured data. The test results show that the positioning accuracies of WiFi-RTT are better than 0.4m and 0.6m under static conditions and dynamic conditions respectively. The research has essential reference value for the realization of high-precision positioning based on smartphones.