Please use this identifier to cite or link to this item:
https://repositorio.ufpa.br/jspui/handle/2011/6977
metadata.dc.type: | Artigo de Periódico |
Issue Date: | Dec-2011 |
metadata.dc.creator: | ARAÚJO, Josivaldo de Souza OLIVEIRA, Rodrigo Melo e Silva de SOUZA SOBRINHO, Carlos Leônidas da Silva |
Title: | Novel technique for locating an intruder in 3D environments by using a cooperative system of multistatic radars |
Citation: | ARAÚJO, Josivaldo de Souza; OLIVEIRA, Rodrigo Melo e Silva de; SOUZA SOBRINHO, Carlos Leonidas da Silva. Novel technique for locating an intruder in 3D environments by using a cooperative system of multistatic radars. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 10, n. 2, p. 308-322, dez. 2011. Disponível em: <http://www.scielo.br/pdf/jmoea/v10n2/a02v10n2.pdf>. Acesso em: 5 nov. 2015. <http://dx.doi.org/10.1590/S2179-10742011000200002>. |
Abstract: | The aim of this work is to present a new methodology, based on vector and geometrical techniques, for determining the position of an intruder in a residence (3D problem). Initially, modifications in the electromagnetic responses of the environment, caused by movements of the trespasser, are detected. It is worth mentioning that slight movements are detected by high frequency components of the used pulse. The differences between the signals (before and after any movement) are used to define a sphere and ellipsoids, which are used for estimating the position of the invader. In this work, multiple radars are used in a cooperative manner. The multiple estimates obtained are used to determine a mean position and its standard deviation, introducing the concept of sphere of estimates. The electromagnetic simulations were performed by using the FDTD method. Results were obtained for single and double floor residences. |
Keywords: | Técnica do vetor Radar multiestático Sensores internos Método FDTD |
ISSN: | 2179-1074 |
metadata.dc.rights: | Acesso Aberto |
Appears in Collections: | Artigos Científicos - ICEN |
Files in This Item:
File | Description | Size | Format | |
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Artigo_NovelTechniqueLocating.pdf | 3,09 MB | Adobe PDF | View/Open |
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