2017
DOI: 10.1109/temc.2017.2656896
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Intelligent Adaptive Filtering Algorithm for Electromagnetic-Radiation Field Testing

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Cited by 11 publications
(15 citation statements)
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“…Adaptive filters can be described as variable transfer functions defined in the Z-Transform domain, H(z) [17]. Their use for emissions measurement improvements in OATS and antenna design has been recently documented [6,5,18]. In 7 One important aspect of an adaptive filter design concerns the definition of an adaptive algorithm and its parameters specification.…”
Section: Adaptive Filtering 130mentioning
confidence: 99%
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“…Adaptive filters can be described as variable transfer functions defined in the Z-Transform domain, H(z) [17]. Their use for emissions measurement improvements in OATS and antenna design has been recently documented [6,5,18]. In 7 One important aspect of an adaptive filter design concerns the definition of an adaptive algorithm and its parameters specification.…”
Section: Adaptive Filtering 130mentioning
confidence: 99%
“…Such limitations reinforce the need for more robust techniques. In a recent paper about the use of AFs on an OATS EMC test called radiated emissions, Sheng et al [6] propose a configuration based on the particle swarm optimization (PSO) method. In fact, the PSO is being increasingly applied to AF problems [19,20,21] in a variety of ways.…”
Section: Adaptive Filtering 130mentioning
confidence: 99%
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“…The difficulty of on-site measurement is related to the filtering of the environmental background noise. The most common methods for on-site EMR testing include the use of virtual anechoic chambers [1], beamforming spatial filtering [2] and, multichannel blind source separation. Unlike singledevice on-site EMR measurements where the filtering of environmental background noise is the main concern, interdevice interference between multiple devices must also be accounted for in on-site IEP system EMR measurements.…”
Section: Introductionmentioning
confidence: 99%