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In this paper we investigate the problem of off-line detection and estimation of change-point instants on data provided by two sensors. In this context sensors synchronization, that provides simultaneous change-point instants on the data, is in practice a constraint hard to maintain. The contribution of this work is the proposition of a hybrid fusion system that performs as well as the centralized...
In this work we investigate the potential for sensing beach soil moisture with the L band GPS bistatic radar concept. Characterisation of sediment surface (properties like humidity) is indeed important to better understand morphodynamic activity of intertidal part of beaches. In our approach we compare the direct GPS Signal to Noise Ratio with the reflected one in order to measure the soil moisture...
This paper presents a Bayesian off-line fusion segmentation method, applied to the code tracking in a multi-carrier GPS receiver. The tracking is realized with discriminator values obtained on the different carrier frequencies. We suppose that the evolution of the pseudo-ranges satellites-receiver is piecewise linear. We propose a Bayesian method for the fusion of change detection models in the discriminators...
We present in this article an off-line Bayesian estimation method for the segmentation of piecewise linear processes. The estimation is defined as a penalized contrast function with a first term related to the observations and a term of penalty deduced from the prior law of change instants. This technique is used for the distance estimation between a satellite and a navigation receiver. The distance...
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