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目前基于扩展卡尔曼滤波的残差卡方检测法已在接收机自主进行GPS卫星故障检测方面得到广泛应用,但该方法存在依赖系统数学模型、检验延迟等问题.文章提出一种基于小波分析的GPS卫星故障检测法,利用小波分析在时频域表现出良好的细节处理特性,将GPS接收机的可测数据即伪距观测数据和位置定位数据作为处理对象,进行多尺度下的分析,通过识别异常点来判断故障的发生.仿真结果表明,该方法具有高效灵敏,简洁直观,易于工程实现等特性,有助于保证导航系统的可靠性和稳定性.
At present, the residual chi-square detection based on extended Kalman filter has been widely used in the GPS satellite fault detection by the receiver independently, however, this method has some problems such as relying on the mathematical model of the system and the delay of the test.This paper presents a wavelet-based GPS satellite fault detection method, the use of wavelet analysis in the time-frequency domain showed good details of the processing characteristics of GPS receiver can be measured data that pseudo-range observation data and location positioning data as the processing object for multi-scale analysis, through Identify the abnormal point to judge the occurrence of the fault.The simulation results show that this method has the characteristics of high efficiency and sensitivity, simple and intuitive, easy to implement and so on, which helps to ensure the reliability and stability of the navigation system.