Realistic GPS Sensor Degradation

Is your feature request related to a problem? Please describe.

desire to integrate MACVIO/MAC-SLAM with realistic usage
currently we're not doing super realistic state estimation, it's coming from mavros sim with simulated sensors. see px4_mavlink_backend.py. The default multirotor uses default simulated sensors including barometer, imu, magnotometer, gps. The GPS sensor for example doesn't degrade based on environment occlusions
therefore currently the simulator won't accurately reflect performance in GPS-degraded environments

Describe the solution you'd like

support shadow interference, multicast interference, jamming
apparently there is some research on how to simulate this: https://arc.aiaa.org/doi/full/10.2514/6.2023-2648
The papers seem to line up nicely with that overall design, the first two papers seem to be a good fit for simulating a realistic GPS degradation scenario:
- Cuenca et al. is the strongest reference for modeling degradation as an environmental effect driven by obstruction, shadowing, and satellite geometry / DOP rather than a binary outage.
- Pant et al. feels like the most implementation-friendly starting point on the simulator side since it shows a practical real-time plugin approach using ray tracing in an urban environment.
immediate deliverable have in mind is an environment-aware degraded GPS path for Isaac Sim / Pegasus, plus a clean way to test open-sky, degraded, denied, and recovery transitions against MACVIO

Additional context

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