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Ferromagnetic Mass Localization in Check Point Configuration Using a Levenberg Marquardt Algorithm

在用一个 Levenberg Marquardt 算法的检查点配置的铁磁性的集体本地化

作     者:Alimi, Roger Geron, Nir Weiss, Eyal Ram-Cohen, Tsuriel 

作者机构:Soreq Nucl Res Ctr Prop Phys Div IL-81800 Yavne Israel 

出 版 物:《SENSORS》 (传感器)

年 卷 期:2009年第9卷第11期

页      面:8852-8862页

核心收录:

学科分类:0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

主  题:magnetic moment localization magnetic sensors Levenberg Marquardt Algorithm 

摘      要:A detection and tracking algorithm for ferromagnetic objects based on a two stage Levenberg Marquardt Algorithm (LMA) is presented. The procedure is applied to localization and magnetic moment estimation of ferromagnetic objects moving in the vicinity of an array of two to four 3-axis magnetometers arranged as a check point configuration. The algorithms first stage provides an estimation of the target trajectory and moment that are further refined using a second iteration where only the position vector is taken as unknown. The whole procedure is fast enough to provide satisfactory results within a few seconds after the target has been detected. Tests were conducted in Soreq NRC assessing various check point scenarios and targets. The results obtained from this experiment show good localization performance and good convivial with noisy environment. Small targets can be localized with good accuracy using either a vertical doorway two to four sensors configuration or ground level two to four sensors configuration. The calculated trajectory was not affected by nearby magnetic interference such as moving vehicles or a combat soldier inspecting the gateway.

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