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Simple closed-form solution for a single source estimation in mixed far-field and near-field conditions
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 Title & Authors
Simple closed-form solution for a single source estimation in mixed far-field and near-field conditions
Jung, Tae-Jin; Lee, KyunKyung;
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 Abstract
Based on correlation and least square method, a closed-form algorithm for estimating the location of mixed far-field and near-field source is presented using the Uniform Circular Array (UCA). Recently, for a homogeneous circular arrangement case, a correlation based closed-form algorithm is proposed to estimate 2-D angle (azimuth, elevation) and the extended algorithm is proposed to 3-D location (azimuth, elevation, range). These algorithms assume the far-field source or near-field source only. Therefore, for mixed source localization, the proposed algorithm estimates source location with the assumption of far-field source, and then estimates the range to distinguish the far-field from the near-field source. For both cases, numerical experiments have been performed, which confirmed the validity of the proposed algorithm.
 Keywords
Source localization;Near-field/Far-Field Source;Least square method;
 Language
Korean
 Cited by
 References
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