A differential evolution algorithm based source reconstruction technique

Conventional source reconstruction techniques based on the equivalent current source model for near-to-far-field transformation need the knowledge of near-field (NF) phase. They involve solving an ill-posted problem, and uniqueness of the solution to the inverse problem is not guaranteed. Adding a regularization term may help eliminate the drawback. However, the solution can be affected by the choice of the regularization parameters. A differential evolution algorithm based source reconstruction technique is presented for the prediction of electromagnetic radiated emissions using NF data. The use of the global optimization algorithm enables the local minimal problem to be avoided. Another advantage of the presented technique is that the measurement of NF phase is not necessary.