Meaning
Process of aligning electromagnetic field measurements taken from different sensors or at different times into a single coherent model. Spatial field reconciliation ensures that data points from a scanned volume are correctly mapped to their physical locations relative to the device under test. It is used to create a unified view of the radiation pattern from fragmented or overlapping measurements.
This step is necessary when using robotic arms or hand held probes that do not follow a perfectly rigid path.
Data Integration
Software algorithms correlate the phase and amplitude of the captured signals to remove discrepancies caused by sensor movement. Spatial field reconciliation allows for the combination of data from multiple test runs, which is useful when the entire device cannot be scanned in a single pass.
Geometric Accuracy
Precise tracking of the probe position is required to maintain the integrity of the spatial map. When spatial field reconciliation is performed correctly, the resulting model accurately shows the hot spots and nulls in the emission profile of the product.
Coordinate Transformation
Measurements taken in different frames of reference must be converted into a common system. This aspect of spatial field reconciliation accounts for the rotation and translation of the device between different phases of the testing sequence.
