Phased Array Radiation Field Mapping under Proximity Loading
Proximity loading detunes phased arrays and distorts beam shapes, requiring near-field spatial power density mapping to maintain regulatory exposure limits.
Source Reconstruction Method
Meaning
Numerical procedure calculates the equivalent electric and magnetic currents on a virtual surface by processing measured electromagnetic field samples. The source reconstruction method provides a way to visualize the radiation sources of a device without needing to place sensors directly on the hardware.
Inverse Scattering
Substitution of the physical device with a set of mathematical currents on a simplified geometry allows for easier analysis of the radiated fields. These currents are calculated to produce exactly the same field distribution that was measured in the near field or far field range. The source reconstruction method enables the prediction of the field at any point in space, including areas that were not originally measured.
This capability is useful for evaluating the specific absorption rate in human tissue based on external measurements.
Diagnostic Value
Localization of hot spots or unintended radiation points helps engineers troubleshoot failures in shielding or filtering. If a device fails an emissions test, the source reconstruction method can map the leakage back to a specific connector or a gap in a metal enclosure. This visual feedback guides the physical redesign of the product to meet regulatory requirements.
It is a more efficient diagnostic tool than the trial and error application of shielding tape.
Computational Efficiency
Processing large sets of measurement data into a coherent source model requires significant computational resources. Modern implementations of the source reconstruction method use fast multipole methods or integral equation solvers to handle high resolution grids. The choice of the reconstruction surface, whether it is a box surrounding the device or a plane above the PCB, affects the accuracy and speed of the solution.
Refinement of these models ensures that the predicted fields match the measured reality with high fidelity.