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Statistical electromagnetics: an end-game to computational electromagnetics

This paper presents a rebuttal to the view that simulation practices will consider progressively more complex problems, containing progressively more parameters, until an end-game is reached when simulation ‘models reality’. It is argued that an increase in problem complexity leads to the consideration of parameters that are better described statistically. It is shown that assuming single values for such parameters leads to a number of ‘traps’ that fundamentally undermine the validity of simulation. An alternative approach (Statistical Electromagnetics) is introduced. This embraces those statistical parameters and treats the simulation solution similarly. An example of a problem that benefits from statistical analysis is presented: that of the radiated emissions level created when a number of equipment items with common emissions frequencies are assembled into a system.