小波分析在GPS卫星故障检测中的应用

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。

Application of wavelet analysis in GPS satellite fault detection

At present, the residual chi square detection method based on extended Kalman filter has been widely used in GPS satellite fault detection independently by the receiver. However, this method has some problems such as dependency on mathematical model and detection delay. A GPS satellite fault detection method based on wavelet analysis was proposed. The wavelet analysis was used to analyze the GPS data in the time and frequency domain, and the data could be processed as multi scale analysis. Abnormal points were used to determine the occurrence of failure. The simulation results show that the proposed method is efficient, sensitive, concise and easy to implement. It′s useful to the reliability and stability of navigation system.