双频Android手机GPS/BDS伪距单点定位增强方法与性能评估CSCD

针对双频GNSS手机不同运动状态下的定位性能,从原始观测值质量入手进行分析,设计并比较了多种定位算法的有效性。首先,采集了华为mate30、荣耀20pro、小米10三款双频手机的原始观测数据,从DOP值、信噪比、伪距残差等方面对观测数据质量进行了分析评估。其次,设计了静态和动态实验,利用最小二乘法(LSM)、加权最小二乘法(WLS)(高度角定权、信噪比定权)、Kalman滤波法进行单点定位解算。静态测试结果表明,基于LSM的三款手机定位精度在E、N方向上分别优于2.04m和2.24m,信噪比定权相比高度角定权可使平面定位精度平均提高8.5%;动态测试结果表明,Kalman滤波可有效提高精度性能,平面定位精度平均提高7.2%,但三款手机的动态测试表现明显低于静态测试。

The Performance Evaluation and Enhancement Method of Pseudo-range Single Point Positioning for Dual-frequency GPS/BDS Based on Android Smartphone

To improve the positioning performance of dual-frequency GNSS smartphones under different motion states,this paper analyzes the quality of original observations,and designs and compares the effectiveness of multiple positioning algorithms.Firstly,this paper collects the original observational experimental data of three dual-frequency smartphones of Huawei mate30,Honor 20pro,and Xiaomi 10 through experiments,and analyzes and evaluates the quality of the observation data from the aspects of DOP value,signal-to-noise ratio(SNR)and pseudorange residuals.Secondly,by designing static and dynamic experiments,this paper uses least square method(LSM),weighted least squares(WLS,fixed weight of elevation angle,fixed weight of signal-to-noise ratio)and Kalman filter method to perform single point positioning solution.The static experiment result shows that the positioning accuracy of the three smartphones based on the LSM is better than 2.04m and 2.24m in the east and north directions.The fixed weight of the signal-to-noise ratio can increase the plane positioning accuracy by 8.5%on average,compared with the fixed weight of the elevation angle.The dynamic experiment result shows that Kalman filtering can effectively improve the accuracy performance,and the plane positioning accuracy is increased by 7.2%on average,while the dynamic experiment performance of the three smartphones is significantly lower than the static experiment.