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A Subspace-based Array Shape Estimation Method Using Nearfield Source Model  

박희영 (연세대학교 전기전자공학과)
오원천 (국방과학연구소)
강현우 (강남대학교 컴퓨터미디어공학부)
윤대희 (연세대학교 전기전자공학과)
이충용 (연세대학교 전기전자공학과)
Abstract
Most of the way shape estimation method using reference sources assume that the reference sources are in the farfield. That is, the reference sources are assumed to be far from the array. However, in applications of the array with reference sources, the reference sources are not far from the way, so that in practical ocean environments, the conventional method using farfield source model fail to estimate the positions of the hydrophones. In this paper, based on the nearfield source model, a subspace-based array shape estimation method was proposed. In the proposed method, nearfield reference source is modeled using the differential time delay at each hydrophone, and nearfield parameters are derived. Using these parameters, a subspace-based array shape estimation method that generalizes the existing farfield subspace fitting method which can work regardless of the range of the source is proposed. The Cramer-Rao lower bound for the proposed method is investigated. The results of the numerical experiments indicate that the proposed method performs well in estimating the shape of a perturbed way regardless of the ranges of the reference sources.
Keywords
Array shape estimation; Array calibration; Nearfield reference source; Array signal processing; Nonlinear array;
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