GPS可见性预测指标

发表威尔·坎贝尔，，，，2019年1月11日

14次观看（最近30天）|0Likes|1条评论

Will本周的选择是GPS可见性预测指标经过埃里克·奥吉尔（Eric Ogier）。

The first demo I built upon joining MathWorks was a万博1manbetx预测地球表面上特定位置的GPS卫星数量的模型。它读取tle文件为了加载初始条件，传播轨道，并计算方位角和高程以计算可见的卫星。尽管我为这项工作感到自豪，但埃里克（Eric）很容易使我对他令人印象深刻的全科医生预测指标感到羞耻。

埃里克（Eric）采用了纯MATLAB方法。只需在命令窗口中键入“ GPS”，您很快就会为GPS卫星网络提供地面跟踪图。每个卫星直接在头顶上方的位置都绘制在地图上。这是部分屏幕截图。

At the time I collected that image, two spacecraft were nearly directly overhead my approximate location. That location is denoted by the + mark, which can be defined by clicking or more accurately through a settings window. Whenever you define a ground location of interest, a curve is placed on the map to indicate the field of view for that location. Any spacecraft that falls outside the curve will not be visible to a GPS receiver.

If you want a different perspective, you can toggle the Sky Map. This polar plot is a flattened version of the sky from the ground location. The center of the plot would be straight up, which is why you see GPS 31 and 14 near it. The edge of the circle defines the horizon in all directions. So according to Eric’s prediction, I should be able to see a dozen GPS satellites if my view was totally unobstructed (five are rather marginal).

If that weren’t enough, you also can visualize GPS visibility through something akin to a Gantt chart. This shows you which spacecraft are visible at the present as well as estimates for the past and future. Pretty slick!

通过我的实验工具,我不ver once encountered a glitch. It appears to be a solidly written set of code that adheres to a number of programming best practices. If I was ever in any doubt as to how to use the tool or interpret data, I could turn to a PowerPoint presentation that clearly explains everything you’d want to know. I’m honestly struggling to think what more I’d want out of a Pick of the Week. Absolutely outstanding work, Eric!

Let us know what you thinkhere或留下一个评论对于埃里克。