Expand description
Source localization from arrival times.
This module solves for an event position from sensors at known Cartesian coordinates. Inputs are sans-I/O: callers supply sensor positions, arrival times, and a propagation speed. Coordinates are metres in a caller-chosen 2D or 3D Cartesian frame, times are seconds, and speeds are metres per second.
Structs§
- Sensor
- A sensor with a known Cartesian position.
- Source
Covariance - State covariance or Cramer-Rao lower bound for a source solve.
- Source
Crlb - CRLB and DOP for a proposed sensor/source geometry.
- Source
Geometry Quality - Geometry and redundancy diagnostics for a source solve.
- Source
Initial Guess - Closed-form seed used to start the iterative solve.
- Source
Locate Options - Options for
locate_source. - Source
Residual - One residual associated with a sensor row.
- Source
Sensor Influence - Per-sensor leave-one-out diagnostic.
- Source
Solution - Source solution from
locate_source.
Enums§
- Loss
- SciPy’s
lossselector forleast_squares. - Source
Localization Error - Source-localization failure.
- Source
Solve Mode - Measurement model used by
locate_source.
Functions§
- chan_
ho_ initial_ guess - Compute the closed-form Chan-Ho style seed used by
locate_source. - locate_
source - Locate a source from sensor arrival times.
- source_
crlb - Compute a timing CRLB for a proposed source location.
- source_
dop - Compute timing DOP for a proposed source location.