What are the criteria for classifying signals into the above three when you create a UAV platform and receive GPS signals (blocked, multipath, direct) from the uavSensor?

https://kr.mathworks.com/help/uav/ug/simulate-gnss-multipath-effects-on-uav-flying-in-urban-environment.html?s_tid=srchtitle_site_search_8_urban%20uav

I did the contents of the above page myself.

GPS signals are classified into three categories: blocked, multipath, and direct, and I wonder how they are classified and received.

I don't understand what functions "categorize" the signals by "what criteria".

I'm wondering by what criteria do you classify true and false, rather than categorizing names by categorical functions.

Answer 1

[Angelo Yeo]

As you can see in the line 19 of the doc, the LOS status is generated via gnssMeasurementGenerator, which means they are "simulated data". Note that the purpose of the doc you mentioned is to simulate multipath effect.

Detailed information on LOS of GNSS can be found in the link.

[인혁]

thanks!

[인혁]

Then, does the gnssMeasurementGenerator function take care of classifying whether it is LOS or multipath?

[Ryan Salvo]

Yes, the gnssMeasurementGenerator will determine if the measurement was obtained through direct line-of-sight or not. This is determined uisng based on local obstructions in the scenario, the satellite positions, and the receiver position.

[인혁]

thanks you!