Spectral analysis and low-frequency multipath mitigation for kinematic applications
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Curso de graduação
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Institute of Electrical and Electronics Engineers (IEEE)
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Trabalho apresentado em evento
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Acesso aberto
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Resumo
Low-frequency multipath is still one of the major challenges for high precision GPS relative positioning. In kinematic applications, mainly, due to geometry changes, the low-frequency multipath is difficult to be removed or modeled. Spectral analysis has a powerful technique to analyze this kind of non-stationary signals: the wavelet transform. However, some processes and specific ways of processing are necessary to work together in order to detect and efficiently mitigate low-frequency multipath. In this paper, these processes are discussed. Some experiments were carried out in a kinematic mode with a controlled and known vehicle movement. The data were collected in the presence of a reflector surface placed close to the vehicle to cause, mainly, low-frequency multipath. From theanalyses realized, the results in terms of double difference residuals and statistical tests showed that the proposed methodology is very efficient to detect and mitigate low-frequency multipath effects. © 2008 IEEE.
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Feature extraction , Kinematics , Navigation , Spectrum analysis , Spectrum analyzers , Wavelet transforms , Double differences , Geometry changes , High precisions , Kinematic applications , Multi-path effects , Multipath , Multipath mitigations , Reflector surfaces , Spectral analyses , Stationary signals , Vehicle movements , Statistical tests
Idioma
Inglês
Citação
Record - IEEE PLANS, Position Location and Navigation Symposium, p. 413-417.
