states.InformationUpdate
class InformationUpdate:Additive measurement update in information form.
For each matched pair (``H = I``, ``R = r I``) the fusion is a plain
sum, ``Y' = Y + r^{-1} I`` and ``y' = y + r^{-1} z``, after which the
filtered mean is recovered as ``mu = Y'^{-1} y'``. Unmatched tracklets
keep their predicted state.
Parameters
| Name | Type | Description |
|---|---|---|
| field | str | Primary mean field. |
| meas_field | str | Detection field holding the measurement. |
| r = 0.1 | float | Measurement-noise scale. |
Members
property
- field
- infomat_fieldReturn the information-matrix field name.
- infovec_fieldReturn the information-vector field name.
- meas_field
- r
Source: unitrack/states/kalman/information.py:108