基于自适应粒子滤波的北斗卫星信号周跳探测

在北斗卫星载波相位定位确定模糊度之前,载波相位数据首先需要进行周跳的探测与修复。由于误差的影响,载波观测方程具有非线性、非高斯的特性,使用一般的线性滤波法探测周跳有其局限性。本文提出利用非线性、非高斯的自适应粒子滤波探测周跳的方法。在对周跳探测原理和计算过程分析的基础上,结合北斗卫星观测方程,建立了北斗卫星相位周跳探测模型。本文方法经实测数据计算,能够满足北斗卫星周跳探测及高精度定位的需求。通过与卡尔曼滤波方法进行比较,进一步验证了自适应粒子滤波周跳探测模型具有初始化简单、精度高、收敛速度快等特点。

Cycle slip detection for BeiDou satellite based on adaptive particle filtering

Before determining the carrier-phase ambiguity resolution of BeiDou satellite in precision positioning,carrier-phase cycle slips need to be detected and repaired.Due to the influences of different errors,the carrier observation equation is nonlinear and non-Gaussian,so the method of linear filtering has its limitations to detect cycle slips.In this article,nonlinear and non-Gaussian adaptive particle filtering is employed to detect cycle slips.The detection model is built by observation equation based on analyzing BeiDou cycle slip detection principle and computation process.The proposed method can meet the demand of BeiDou cycle slip detection and precision positioning using measured data.Compared with Kalman filtering method,the adaptive particle filtering cycle slip detection model is characterized by simple initialization,high accuracy and fast convergent speed.