Técnicas de estimação do ângulo de chegada de sinais: uma análise comparativa

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dc.contributor.advisorEisencraft, Marciopt_BR
dc.contributor.advisor1Latteshttp://lattes.cnpq.br/1230223107318137por
dc.contributor.authorFontes, Rodrigo Tadeupt_BR
dc.creator.Latteshttp://lattes.cnpq.br/3032056583905652por
dc.date.accessioned2016-03-15T19:38:11Z
dc.date.accessioned2020-05-28T18:08:43Z
dc.date.available2008-09-17pt_BR
dc.date.available2020-05-28T18:08:43Z
dc.date.issued2008-08-14pt_BR
dc.description.abstractThis work presents a comparative analysis of direction of arrival estimation techniques that use a Uniform Linear Array (ULA) of sensors. In this analysis, we use large ranges of parameters such as signal-to noise ratio, direction of arrival and number of sensors. Initially, the ULA model and its output are described. The estimation techniques (i) correlation, (ii) Multiple Signal Classification (MUSIC) and (iii) Estimation of Signals Parameters via Rotational Invariant Techniques (ESPRIT) are reviewed and the Cramer-Rao Lower Bound (CRLB) for this estimation problem is derived. The CRLB is the lowest Mean Square Error (MSE) achievable by any unbiased estimator. This limit is compared to the techniques MSE. Furthermore, we numerically obtain estimation resolution as a function of the ULA's number of sensors and the processing time for a pre-determined parameters estimation. We assume that the incident signals are corrupted by additive white gaussian noise. The results show that for only one signal reaching the ULA the correlation and MUSIC MSE are similar and closer the CRLB limit than ESPRIT MSE. Considering two signals reaching the array, we notice that the best choice depends on the signal-to-noise ratio. The same occurs when it comes to resolution. This time, the best method determination is related to the array's number of sensors. ESPRIT is the method that achieves the lowest processing time.eng
dc.formatapplication/pdfpor
dc.identifier.citationFONTES, Rodrigo Tadeu. Técnicas de estimação do ângulo de chegada de sinais: uma análise comparativa. 2008. 80 f. Dissertação (Mestrado em Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo, 2008.por
dc.identifier.urihttp://dspace.mackenzie.br/handle/10899/24404
dc.languageporpor
dc.publisherUniversidade Presbiteriana Mackenziepor
dc.rightsAcesso Abertopor
dc.subjectsinais incidentespor
dc.subjecttécnicas de estimaçãopor
dc.subjectrelação sinal-ruídopor
dc.subjectengenharia elétricapor
dc.subjectincident signalseng
dc.subjectestimation techniqueseng
dc.subjectsignal-to noise ratioeng
dc.subjectelectrical engineeringeng
dc.subject.cnpqCNPQ::ENGENHARIAS::ENGENHARIA ELETRICApor
dc.thumbnail.urlhttp://tede.mackenzie.br/jspui/retrieve/3572/Rodrigo%20Tadeu%20Fontes.pdf.jpg*
dc.titleTécnicas de estimação do ângulo de chegada de sinais: uma análise comparativapor
dc.typeDissertaçãopor
local.contributor.board1Campelo, Divanilson Rodrigo de Sousapt_BR
local.contributor.board1Latteshttp://lattes.cnpq.br/9838400375894439por
local.contributor.board2Miranda, Maria das Dores dos Santospt_BR
local.contributor.board2Latteshttp://lattes.cnpq.br/2170086471105903por
local.publisher.countryBRpor
local.publisher.departmentEngenharia Elétricapor
local.publisher.initialsUPMpor
local.publisher.programEngenharia Elétricapor
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