Abstract

Open area-test site (OATS) is envisaged to be one of the key components in measuring radiation emissions for new electronics products in noisy environment, providing flexible high resolution backhaul over expensive anechoic chamber for early investigation. While single chamber cost suffer from range of operating frequencies constraints, equipping OATS with flexible ambient masking module (FAM) can significantly alleviate the ambient problem and increase the aggregate precision available to electronics product to meet local electromagnetic compatibility (EMC) standards. The goal of this classification algorithm is to characterize source generated data concealed within ambient and then to categorize them according to their attribute. In this paper we examine the unique constraint of site attenuation and identify the key factors governing assignment schemes, with particular reference to interference, precision of transducers and noise profiles. After presenting the taxonomy of existing kind of pass type data assignment, we describe a real time data assignment architecture which incorporates the radiation emissions together with class issues in order to minimize interference with ambient and how its integration can be exploited to achieve chamber efficiency is discussed. The preliminary performance results validate the design choices of the parameters and confirm the potential impact of the price paid.

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