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Memorias de investigación
Artículos en revistas:
Optimal estimation of the relevant information coming from a rollover sensor placed in a car under performance tests
Año:2008
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
In this paper, an inverse square-root adaptive filtering algorithm for recursive least squares estimation (QR-RLS) was used to carry out the optimal estimation of the relevant information coming from a rollover sensor placed in car under performance tests. In this case, the noise that corrupts the relevant signal coming from the sensor is so dangerous that its negative influence on the electrical systems of the car can prevent both drivers and intelligent systems embedded in today¿s cars from making intelligent driving decisions that can save millions of lives every year. For this reason, the solution to this problem safety related problem deserves our full attention. Here, in order to solve this problem, a QR-RLS adaptive filter was used. The results of the experiment were satisfactory, an optimal rollover sensor with very low uncertainty of measurement, very good repeatability, very low non-linearity and a satisfactory sensitivity was designed. Furthermore, a significant improvement of 45dB in the signal-to-noise ratio (SNR) at the system output was achieved.
Internacional
Si
JCR del ISI
No
Título de la revista
Measurement
ISSN
0263-2241
Factor de impacto JCR
0
Información de impacto
Volumen
41
DOI
Número de revista
0
Desde la página
20
Hasta la página
31
Mes
ENERO
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Wilmar Hernandez Perdomo (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Ingeniería de Circuitos y Sistemas
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