A quasi-real-time on-chip ionospheric TECKalman filtering algorithm
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摘要: 本文提出一种适用于片上的电离层总电子含量（total electron content，TEC）准实时算法，可降低电离层TEC监测设备的成本、体积、功耗和待传数据量，并在ARM芯片上进行了验证。为降低数据存储量和计算复杂度，该算法收集和缓存20分钟的GNSS双频伪距和相位观测值，用载波相位平滑伪距的方法得到20分钟内卫星至接收机视线路径上的TEC（slant TEC, STEC），采用5分钟的滑动步长进行下一组STEC的数据处理。利用映射函数和多项式模型构建卡尔曼滤波的量测方程，通过卡尔曼滤波迭代，准实时给出测站上空的电离层垂直TEC（vertical TEC，VTEC）。并与积累一天数据得到的STEC作为观测量进行卡尔曼滤波得到的VTEC进行了对比，结果表明，采用20分钟的数据长度和5分钟的步长对STEC进行准实时处理的方法是可行的。
Abstract: An on-chip quasi-real-time algorithm is proposed for monitoring the ionospheric total electron content (TEC). The algorithm can run on a standard commercial chip. In this way, the cost, power consumption, size and data to be transferred of TEC monitor are reduced. To minimize the cache capacity needs and computational load, the algorithm collects the GNSS dual-frequency pseudorange and phase measurements in 20 minutes. The TEC, based on phase measurements, is fitted to the TEC derived from pseudorange measurements to achieve high-precision TEC along the line-of-sight path (slant TEC, STEC) within 20 minutes. A 5-min step is employed to compute the subsequent set of STEC. A thin-shell ionospheric model and VTEC polynomial model are used to construct the measurement equation of Kalman filter and acquire the quasi-real-time VTEC above the monitor. These VTEC values are compared with the results based on STEC from 1-day measurements. The results show that the quasi-real-time algorithm is effective. The algorithm is implemented on i.MX283 (Arm9™ Core).-
Key words:
- ionospheric TEC /
- Kalman filter /
- quasi-real-time algorithm /
- ionosphere monitoring
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