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Simple closed-form solution for a single source estimation in mixed far-field and near-field conditions
Author(s) -
Taejin Jung,
KyunKyung Lee
Publication year - 2016
Publication title -
the journal of the acoustical society of korea
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.162
H-Index - 2
eISSN - 2287-3775
pISSN - 1225-4428
DOI - 10.7776/ask.2016.35.1.035
Subject(s) - simple (philosophy) , near and far field , field (mathematics) , estimation , mathematics , computer science , physics , engineering , optics , pure mathematics , philosophy , epistemology , systems engineering
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.

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