摘要
以C语言软件接收机为平台,设计实现GPS导航接收机矢量跟踪算法主滤波器模型。利用标量测量依次处理法对矢量跟踪导航滤波器进行改造,解决矢量跟踪算法的计算量大和单个通道故障会对全局造成影响这两个缺点,提高系统的计算效率和容错能力。分析标量测量依次处理方法计算量小的优势,并进行跑车试验。试验结果表明,标量测量依次处理法减小了矢量跟踪主滤波器的运算量,同时提高了信号故障检测能力。相比于单点定位,导航结果具有更高的速度测量精度和更加平滑的导航定位误差。
This paper designs and implements the main filter model of GPS navigation receiver vector tracking algorithm based on C language software receiver. The vector tracking navigation filter is modified by the scalar measurement sequential processing method, which solves the two shortcomings of the vector tracking algorithm, including the huge computational complexity and the single channel failure will affect the overall situation, and improve the system's computational efficiency and fault tolerance. The computational advantage of the method was analyzed and a sports car experiment was carried out. The results show that the scalar measurement sequential processing method greatly reduces the computational complexity of the vector tracking main filter and improves the signal fault detection capability. Compared to single point positioning, the navigation results have higher speed measurement accuracy and smoother navigation positioning error.
作者
李明玉
李奇奋
艾伦
李斌
LI Mingyu;LI Qifen;AI Lun;LI Bin(Beijing Research Institute of Telemetry,Beijing 100094,China)
出处
《遥测遥控》
2019年第4期49-53,共5页
Journal of Telemetry,Tracking and Command
基金
国家自然科学基金
教育部新世纪人才支持计划
关键词
矢量跟踪
卡尔曼滤波器
标量测量依次处理
Vetor tracking
Extended kalman filter
Scalar measurement processing method
