宋建材¹, 侯春萍¹, 薛桂香²
AuthorsHTML:宋建材¹, 侯春萍¹, 薛桂香²
AuthorsListE:Song Jiancai¹, Hou Chunping¹, Xue Guixiang²
AuthorsHTMLE:Song Jiancai¹, Hou Chunping¹, Xue Guixiang²
Unit:1. 天津大学电气自动化与信息工程学院，天津 300072；2. 河北工业大学计算机科学与软件学院，天津 300040
Unit_EngLish:1. School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
2．School of Computer Science and Engineering, Hebei University of Technology, Tianjin 300040, China
Abstract_Chinese:随着GNSS应用范围和研究深度的不断增加, 接收机完好性检测性能需求也相应提高．基于加权最小二乘法的“快照”估计方法只利用当前历元观测信息, 性能有一定局限性．本文提出了一种基于扩展卡尔曼滤波的RAIM检测和故障识别方法, 综合运用当前和之前历元的观测量进行估计, 利用正交分解方法转化为标量顺序计算, 避免了迭代过程的矩阵求逆．仿真结果表明该方法检测性能较好, 可以减小径向保护误差, 提高故障检测能力, 同时具有递推计算、运算量小、实时性高的优点．
Abstract_English:With the rapid development and application of global navigation satellite system(GNSS)，the importance of receiver autonomous integrity monitoring(RAIM)is growing. This paper proposed a novel RAIM fault detection and identification method based on the extended Kalman filter(EKF)，with an integrated use of all the observations of current and previous epoch to carry out the state estimate，and pretreatment pseudorange combined using carrier phase smoothing algorithm，which can further reduce the effect of distance error on RAIM algorithm and decrease the horizontal and vertical protection level. Compared with the traditional method based on weighted least squares method(WLS)estimation for GNSS receiver，this method improves the detection capability of slow transition fault and decreases the radial error protection. Simulation results show that this algorithm has a better detection performance with the merits of having a recursive calculation，a small amount of computation and real-timing capability.
Keyword_Chinese:卡尔曼滤波; 接收机自主完好性监测; 卫星导航; 接收机
Keywords_English:Kalman filter; RAIM; satellite navigation; receiver

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