Measurement update and residual rejection shall account for each participant's noise level

[ChristopherRabotin]

High level description

At the moment, the filter is configured to have a fixed measurement noise matrix, R. This is unrealistic: each participant will have its own noise levels.

Requirements

• Filter measurement update shall account for each participant's noise level
• Residual rejection shall be refactored such that the measurement is rejected if the i-th coordinate of the prefit is more than N sigmas from the provided measurement noise at that the (i, i) position in the matrix. This will match the behavior of other OD tools.
• Filter trait measurement_update function shall be refactored so that the measurement matrix is provided at each update

Test plans

• Test that different ground stations may have different measurement noises
• Test that with different measurement noises, the measurements are rejected appropriately
• Add a maneuver in the simulated tracking arc to see which measurements are rejected and when.

Design

• measurement_update should have an extra parameter to specify the measurement noise to be used in this measurement update. This function should also pass the residual check directly instead of an optional f64 of the residual value.
• The residual rejection should likely default to 5 sigmas, i.e. 1 in 1 744 278 chances that this residual is actually good.

[ChristopherRabotin]

This PR will also update the values used for the DSN as per the chapter 3 of the DESCANSO: https://descanso.jpl.nasa.gov/monograph/series1/Descanso1_C03.pdf .

[ChristopherRabotin]

The PR should include a plot of the measurement noise values used for each measurement update.