M. J. Garcia-Ligero Ramirez, A. Hermoso-Carazo, J. Linares-Pérez

Entre los diferentes métodos para fusionar la información suministrada por una red de sensores, en este trabajo utilizamos el método distribuido con objeto de estimar una señal a partir de las observaciones proporcionadas por los diferentes sensores. Un problema habitual en este tipo de sistemas es la ocurrencia de fallos aleatorios, bien en las propias medidas de cada sensor, ocasionando medidas deterioradas, o bien durante su transmisión al centro de procesamiento, lo que puede dar lugar a retrasos en la recepción de las mismas. Suponiendo que las observaciones procesadas están sujetas a estos dos tipos de incertidumbre, abordamos aquí el problema de estimación lineal distribuida, bajo el criterio de mínimos cuadrados. A partir de las medias y covarianzas de la señal y los ruidos del modelo, usamos una aproximación por innovaciones para obtener estimadores locales en cada sensor, y la combinación lineal mínimo cuadrática de éstos proporciona el estimador fusión distribuido propuesto.

Keywords: Estimación distribuida, medidas deterioradas, retrasos aleatorios


Posters I
June 7, 2022  12:00 PM
Faculty Hall

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