2010
DOI: 10.1190/1.3431738
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Predictive filter calculation of primary fields in a fixed-wing time-domain AEM system

Abstract: High-altitude data are used to calibrate a least-squares recursion filter that estimates the continually changing primary field of an airborne electromagnetic (AEM) system. The coupling changes in fixed-wing towed-bird systems generate “geometry noise” that in the on-time can be much larger than the ground secondary response. The LSQ filter accurately predicts the high-altitude primary field of a fixed-wing system. The filter is then applied to survey-altitude data to estimate the primary field for subsequent … Show more

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Cited by 7 publications
(1 citation statement)
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“…Motion-induced noise has been identified as the main factor preventing useful acquisition of low base frequency data in airborne electromagnetic (AEM) systems (Buselli et al, 1998). A number of researchers have used estimates or measurements of the receiver motion in an attempt to correct for its' effect (Davis et al, 2006;Kratzer and Vrbancich, 2007;Smiarowski et al 2010;Kratzer and Macnae, 2014) with at least some success at reducing receiver motion noise. To our knowledge, none of these methods have been employed on an AEM system to reduce base frequency.…”
Section: Introductionmentioning
confidence: 99%
“…Motion-induced noise has been identified as the main factor preventing useful acquisition of low base frequency data in airborne electromagnetic (AEM) systems (Buselli et al, 1998). A number of researchers have used estimates or measurements of the receiver motion in an attempt to correct for its' effect (Davis et al, 2006;Kratzer and Vrbancich, 2007;Smiarowski et al 2010;Kratzer and Macnae, 2014) with at least some success at reducing receiver motion noise. To our knowledge, none of these methods have been employed on an AEM system to reduce base frequency.…”
Section: Introductionmentioning
confidence: 99%